50+ PyTorch Jobs in India

JOB DESCRIPTION/PREFERRED QUALIFICATIONS:

KEY RESPONSIBILITIES: 

• Lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success. 
• Develop and maintain the infrastructure required for the deployment and execution of algorithms at scale. 
• Collaborate with data scientists, software engineers, and product managers to design and implement robust and scalable algorithmic solutions. 
• Optimize algorithm performance and resource utilization to meet business objectives.
• Stay up to date with the latest advancements in algorithm engineering and infrastructure technologies and apply them to improve our systems.
• Drive continuous improvement in development processes, tools, and methodologies. 

QUALIFICATIONS: 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 
• Proven experience in developing computer vision and image processing algorithms and ML/DL algorithms. 
• Familiar with high performance computing, parallel programming and distributed systems.
• Strong leadership and team management skills, with a track record of successfully leading engineering teams. 
• Proficiency in programming languages such as Python, C++ and CUDA. 
• Excellent problem-solving and analytical skills. 
• Strong communication and collaboration abilities. 

PREFERRED QUALIFICATIONS: 

• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). 
• Experience with GPU architecture and algo development toolkits like Docker, Apptainer. 

MINIMUM QUALIFICATIONS: 

• Bachelor's degree plus 8 + years of experience 
• Master's degree plus 8 + years of experience 
• Familiar with high performance computing, parallel programming and distributed systems.

MUST-HAVE SKILLS: 

• Phd with 6 yrs industry exp or M.Tech + 8 yrs experience or B.Tech + 10 yrs experience.
• 14 yrs exp if an IC role.
• Minimum 1 yrs experience working as a Manager/Lead
• 8 years' experience in any of the programming languages such as Python/C++/CUDA.
• 8 years' experience in Machine learning, Artificial intelligence, Deep learning.
• 2 to 3 years exp in Image processing & Computer vision is a MUST
• Product / Semi-conductor / Hardware Manufacturing company experience is a MUST. Candidates should be from engineering product companies 
• Candidates from Tier 1 colleges like (IIT, IIIT, VIT, NIT) (Preferred)
• Relocation to Chennai is mandatory

NICE TO HAVE SKILLS: 

• Candidates from Semicon or manufacturing companies
• Candidates with more than 8 CPGA

Job Title: AI / Machine Learning Engineer

 Company: Apprication Pvt Ltd

 Location: Goregaon East

 Employment Type: Full-time

 Experience: 4 Years

 About the Role

We’re seeking a highly motivated AI / Machine Learning Engineer to join our growing engineering team. You will design, build, and deploy AI-powered solutions for web and application platforms, bringing cutting-edge machine learning research into real-world production systems.

This role blends applied machine learning, backend engineering, and cloud deployment, with opportunities to work on NLP, computer vision, generative AI, and intelligent automation across diverse industries.

Key Responsibilities

• Design, train, and deploy machine learning models for NLP, computer vision, recommendation systems, and other AI-driven use cases.
• Integrate ML models into production-ready web and mobile applications, ensuring scalability and reliability.
• Collaborate with data scientists to optimize algorithms, pipelines, and inference performance.
• Build APIs and microservices for model serving, monitoring, and scaling.
• Leverage cloud platforms (AWS, Azure, GCP) for ML workflows, containerization (Docker/Kubernetes), and CI/CD pipelines.
• Implement AI-powered features such as chatbots, personalization engines, predictive analytics, or automation systems.
• Develop and maintain ETL pipelines, data preprocessing workflows, and feature engineering processes.
• Ensure solutions meet security, compliance, and performance standards.
• Stay updated with the latest research and trends in deep learning, generative AI, and LLMs.

Skills & Qualifications

• Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related field.
• Proven experience of 4 years as an AI/ML Engineer, Data Scientist, or AI Application Developer.
• Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn); familiarity with LangChain, Hugging Face, OpenAI API is a plus.
• Experience in model deployment, serving, and optimization (FastAPI, Flask, Django, or Node.js).
• Proficiency with databases (SQL and NoSQL: MySQL, PostgreSQL, MongoDB).
• Hands-on experience with cloud ML services (SageMaker, Vertex AI, Azure ML) and DevOps tools (Docker, Kubernetes, CI/CD).
• Knowledge of MLOps practices: model versioning, monitoring, retraining, experiment tracking.
• Familiarity with frontend frameworks (React.js, Angular, Vue.js) for building AI-driven interfaces (nice to have).
• Strong understanding of data structures, algorithms, APIs, and distributed systems.
• Excellent problem-solving, analytical, and communication skills.

Job Title: AI / Machine Learning Engineer

 Company: Apprication Pvt Ltd

 Location: Goregaon East

 Employment Type: Full-time

 Experience: 4 Years

 About the Role

We’re seeking a highly motivated AI / Machine Learning Engineer to join our growing engineering team. You will design, build, and deploy AI-powered solutions for web and application platforms, bringing cutting-edge machine learning research into real-world production systems.

This role blends applied machine learning, backend engineering, and cloud deployment, with opportunities to work on NLP, computer vision, generative AI, and intelligent automation across diverse industries.

Key Responsibilities

• Design, train, and deploy machine learning models for NLP, computer vision, recommendation systems, and other AI-driven use cases.
• Integrate ML models into production-ready web and mobile applications, ensuring scalability and reliability.
• Collaborate with data scientists to optimize algorithms, pipelines, and inference performance.
• Build APIs and microservices for model serving, monitoring, and scaling.
• Leverage cloud platforms (AWS, Azure, GCP) for ML workflows, containerization (Docker/Kubernetes), and CI/CD pipelines.
• Implement AI-powered features such as chatbots, personalization engines, predictive analytics, or automation systems.
• Develop and maintain ETL pipelines, data preprocessing workflows, and feature engineering processes.
• Ensure solutions meet security, compliance, and performance standards.
• Stay updated with the latest research and trends in deep learning, generative AI, and LLMs.

Skills & Qualifications

• Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related field.
• Proven experience of 4 years as an AI/ML Engineer, Data Scientist, or AI Application Developer.
• Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn); familiarity with LangChain, Hugging Face, OpenAI API is a plus.
• Experience in model deployment, serving, and optimization (FastAPI, Flask, Django, or Node.js).
• Proficiency with databases (SQL and NoSQL: MySQL, PostgreSQL, MongoDB).
• Hands-on experience with cloud ML services (SageMaker, Vertex AI, Azure ML) and DevOps tools (Docker, Kubernetes, CI/CD).
• Knowledge of MLOps practices: model versioning, monitoring, retraining, experiment tracking.
• Familiarity with frontend frameworks (React.js, Angular, Vue.js) for building AI-driven interfaces (nice to have).
• Strong understanding of data structures, algorithms, APIs, and distributed systems.
• Excellent problem-solving, analytical, and communication skills.

We are seeking a Senior Artificial Intelligence Engineer to join our team, contributing expertise in AI technologies across dynamic projects. This full-time, freelance, or remote position is available in Pune Division, Delhi, Noida, Gurgaon, Mumbai, Bengaluru, and Kolkata. Candidates should bring up to 10 years of professional experience and a strong foundation in developing and deploying advanced AI solutions in a fast-paced IT environment.

Qualifications and Skills

• Machine Learning (Mandatory skill): Hands-on experience designing, building, and optimizing machine learning models for real-world applications is essential for this role.
• Python (Mandatory skill): Exceptional proficiency in Python programming, with ability to write efficient, scalable, and maintainable code for AI projects.
• Artificial Intelligence (AI) (Mandatory skill): Proven capability to implement, train, and deploy artificial intelligence systems across diverse domains and business scenarios.
• PyTorch: Strong knowledge of PyTorch for creating, training, and fine-tuning deep learning models for various industrial use cases.
• MLOps: Familiarity with MLOps practices to automate, monitor, and manage machine learning workflows, deployments, and model lifecycle effectively.
• SQL: Adept at using SQL for extracting, analyzing, and managing large volumes of structured data within AI-related projects.
• Excellent problem-solving skills and analytical thinking to identify, develop, and implement innovative AI-powered solutions to complex business problems.
• Solid understanding of software development best practices, including version control, code documentation, and collaborative teamwork in cross-functional settings.

Roles and Responsibilities

• Design, implement, and deploy scalable machine learning and artificial intelligence models and algorithms for a wide array of use cases.
• Collaborate with product managers, data engineers, and other key stakeholders to define AI project requirements and deliver innovative outcomes.
• Analyze large and complex datasets to extract valuable insights, train models, and continuously improve model performance and accuracy.
• Adopt and implement best practices in MLOps for continuous integration, deployment, monitoring, and maintenance of AI solutions.
• Work with PyTorch and related frameworks to build, experiment, and optimize deep learning models tailored to specific business challenges.
• Communicate findings, progress, risks, and results succinctly to technical and non-technical stakeholders, guiding strategic decision-making.
• Actively research emerging trends and advancements in AI, recommending and integrating relevant tools and methodologies into ongoing projects.
• Provide technical mentorship and guidance to junior engineers, fostering an environment focused on continuous learning and growth.

About US:-

We turn customer challenges into growth opportunities.

Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.

Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe

Job Description:-

• Gen Al Skills: (Exp- 4-7 yrs)
• Generative Al: GenAl models (Eg.: Azure OpenAl GPT), Multi-Agent System Architecture:
• Proficiency in Python and Al/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with LangChain, AutoGen, or similar frameworks for multi-agent systems.
• Strong knowledge of Data Science techniques, including data preprocessing, feature engineering, and model evaluation.

Nice to have:

• Familiarity with Big Data tools (e.g., Spark, Hadoop) / Databricks and databases (e.g., SQL, NoSQL).
• Expertise in ReactJS for building responsive and interactive user interfaces.

Location: Bangalore/ Mangalore

Experience required: 2-6 years.

Role Summary:

We are seeking a skilled and motivated AI/ML Developer to join our dynamic team. In this role, you will be instrumental in designing, developing, and deploying machine learning models that solve real-world challenges and drive our business forward.

The ideal candidate has a strong foundation in software engineering, a passion for machine learning, and hands-on experience building and scaling AI-powered solutions.

Key Responsibilities:

• Model Development & Training: Design, build, train, and validate machine learning models using state-of-the-art frameworks like TensorFlow, PyTorch, or Scikit-learn.

• Data Engineering: Develop robust data pipelines for collecting, cleaning, and preprocessing large datasets to prepare them for model training.

• Algorithm Research: Stay current with the latest advancements in AI/ML and apply cutting-edge algorithms and techniques to enhance our solutions.

• Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to translate business requirements into technical solutions.

• Performance Optimization: Analyze and optimize the performance, scalability, and efficiency of ML systems.

Required Skills & Qualifications

• Experience: 2-6 years of professional experience in a software development or machine learning role.

• Programming: High proficiency in Python is essential. Experience with other languages like Java, C++, or Scala is a plus.

• ML Frameworks: Hands-on experience with core machine learning libraries and frameworks such as Scikit-learn, TensorFlow, PyTorch, or Keras.

• Cloud Computing: Proven experience with at least one major cloud platform (AWS, Google Cloud, or Azure) and their associated AI/ML services (e.g., SageMaker, Vertex AI, Azure ML).

• Data Tools: Experience with data processing technologies like SQL, Pandas, NumPy, and Spark.

• Software Engineering: Strong understanding of software development principles, including version control (Git), testing, and CI/CD pipelines.

About the Company:

Pace Wisdom Solutions is a deep-tech Product engineering and consulting firm. We have offices in San Francisco, Bengaluru, and Singapore.

We specialize in designing and developing bespoke software solutions that cater to solving niche business problems.

We engage with our clients at various stages:

• Right from the idea stage to scope out business requirements.

• Design & architect the right solution and define tangible milestones.

• Setup dedicated and on-demand tech teams for agile delivery.

• Take accountability for successful deployments to ensure efficient go-to-market Implementations.

Pace Wisdom has been working with Fortune 500 Enterprises and growth-stage startups/SMEs since 2012. We also work as an extended Tech team and at times we have played the role of a Virtual CTO too. We believe in building lasting relationships and providing value-add every time and going beyond business

About Rekise Marine

Rekise Marine is a startup focused on sustainably enhancing the utility of oceans through autonomous robotic infrastructure. Our efforts center on developing advanced autonomous technology for the maritime industry, serving both defense and commercial sectors globally. We specialize in creating autonomous vessels both surface and underwater as well as autonomous port infrastructure. Currently, we are building the flagship autonomous platform of the Indian Navy.

Key Responsibilities

* Develop AI/ML pipelines for sonar/LiDAR/Radar and camera-based perception.

* Design multi-sensor fusion frameworks for obstacle detection, seabed mapping, and environmental awareness.

* Implement real-time object detection, segmentation, and tracking for underwater missions.

* Enhance robustness of perception under low-light, turbidity, and noisy acoustic conditions.

* Apply model optimization techniques (quantization, pruning, distillation, real-time deployment tuning) to ensure efficiency on embedded and resource-constrained systems.

Preferred Skills

* Experience with deep learning frameworks (PyTorch/TensorFlow).

* Strong knowledge of signal processing, computer vision, and sensor fusion.

* Proficiency in GPU acceleration, C++/Python, ROS/ROS2.

* Track record of published research or field deployments in underwater perception.

* Demonstrable full stack experience with ML based perception (data collection, annotation, training & edge inference).

Good to Have

* Publications in top-tier robotics/AI conferences or journals (e.g., ICRA, IROS, ICAR, CVPR, ICCV, NeurIPS).

* Hands-on experience with real-world Autonomous Systems (AGV/AUV/UAV), field trials, and deployments.

Why You’ll Love Working With Us

A chance to be part of a leading marine robotics startup in India.

Competitive salary.

Flexible and innovative work environment promoting collaboration.

A role where your contributions make a real difference and drive impact.

Opportunities for travel in relation to customer interactions and field testing

What We’re Looking For

As a Senior AI/ML Engineer at Meltwater, you’ll play a vital role in building cutting-edge social solutions for our global client base within the Explore mission. We’re seeking a proactive, quick-learning engineer who thrives in a collaborative environment.

Our culture values continuous learning, team autonomy, and a DevOps mindset. Meltwater development teams take full ownership of their subsystems and infrastructure, including running on-call rotations.

With a heavy reliance on Software Engineering in AI/ML and Data Science, we seek individuals with experience in:

• Cloud infrastructure and containerisation (Docker, Azure or AWS – Azure preferred)
• Data preparation
• Model lifecycle (training, serving, registries)
• Natural Language Processing (NLP) and Large Language Models (LLMs)

In this role, you’ll have the opportunity to:

• Push the boundaries of our technology stack
• Modify open-source libraries
• Innovate with existing technologies
• Work on distributed systems at scale
• Extract insights from vast amounts of data

What You’ll Do

• Lead and mentor a small team while doing hands-on coding.
• Demonstrate excellent communication and collaboration skills.

What You’ll Bring

• Bachelor’s or Master’s degree in Computer Science (or equivalent) OR demonstrable experience.
• Proven experience as a Lead Software Engineer in AI/ML and Data Science.
• 8+ years of working experience.
• 2+ years of leadership experience as Tech Lead or Team Lead.
• 5+ years strong knowledge of Python and software engineering principles.
• 5+ years strong knowledge of cloud infrastructure and containerization.
• Docker (required).
• Azure or AWS (required, Azure preferred).
• 5+ years strong working knowledge of TensorFlow / PyTorch.
• 3+ years good working knowledge of ML-Ops principles.
• Data preparation.
• Model lifecycle (training, serving, registries).
• Theoretical knowledge of AI / Data Science in one or more of:
• Natural Language Processing (NLP) and LLMs
• Neural Networks
• Topic modelling and clustering
• Time Series Analysis (TSA): anomaly detection, trend analysis, forecasting
• Retrieval Augmented Generation
• Speech to Text
• Excellent communication and collaboration skills.

What We Offer

• Flexible paid time off options for enhanced work-life balance.
• Comprehensive health insurance tailored for you.
• Employee assistance programs covering mental health, legal, financial, wellness, and behavioural support.
• Complimentary Calm App subscription for you and your loved ones.
• Energetic work environment with a hybrid work style.
• Family leave program that grows with your tenure.
• Inclusive community with professional development opportunities.

Our Story

At Meltwater, we believe that when you have the right people in the right environment, great things happen.

Our best-in-class technology empowers 27,000 customers worldwide to make better business decisions through data. But we can’t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions.

Our award-winning global culture drives everything we do. Employees can make an impact, learn every day, feel a sense of belonging, and celebrate successes together.

We are innovators at the core who see potential in people, ideas, and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions.

• 2,200+ employees
• 50 locations across 25 countries

We are Meltwater. We love working here, and we think you will too.

"Inspired by innovation, powered by people."

What You’ll Do:

As an AI/ML Engineer at Meltwater, you’ll play a vital role in building cutting-edge social solutions for our global client base within the Explore mission. We’re seeking a proactive, quick-learning engineer who thrives in a collaborative environment. Our culture values continuous learning, team autonomy, and a DevOps mindset.

Meltwater development teams take full ownership of their subsystems and infrastructure, including running on-call rotations. With a heavy reliance on Software Engineer in AI/ML and Data Science, we seek individuals with experience in:

• Cloud infrastructure and containerization (Docker, Azure or AWS is required; Azure is preferred)
• Data Preparation
• Model Lifecycle (training, serving, and registries)
• Natural Language Processing (NLP) and LLMs

In this role, you’ll have the opportunity to push the boundaries of our technology stack, from modifying open-source libraries to innovating with existing technologies. If you’re passionate about distributed systems at scale and finding new ways to extract insights from vast amounts of data, we invite you to join us in this exciting journey.

What You’ll Bring:

• Bachelor’s or master’s degree in computer science or equivalent degree or demonstrable experience.
• Proven experience as a Software Engineer in AI/ML and Data Science.
• Minimum of 2-4 years of working experience.
• Strong working experience in Python and software engineering principles (2+ Years).
• Experience with cloud infrastructure and containerization (1+ Years).
• Docker is required.
• Experience with TensorFlow / PyTorch (2+ Years).
• Experience with ML-Ops Principles (1+ Years).
• Data Preparation
• Model Lifecycle (training, serving, and registries)
• Sound knowledge on any cloud (AWS/Azure).
• Good theoretical knowledge of AI / Data Science in one or more of the following areas:
• Natural Language Processing (NLP) and LLMs
• Neural Networks
• Topic Modelling and Clustering
• Time Series Analysis (TSA), including anomaly detection, trend analysis, and forecasting
• Retrieval Augmented Generation
• Speech to Text
• Excellent communication and collaboration skills

What We Offer:

• Enjoy comprehensive paid time off options for enhanced work-life balance.
• Comprehensive health insurance tailored for you.
• Employee assistance programs covering mental health, legal, financial, wellness, and behaviour areas to ensure your overall well-being.
• Energetic work environment with a hybrid work style, providing the balance you need.
• Benefit from our family leave program, which grows with your tenure at Meltwater.
• Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.

Where You’ll Work:

HITEC City, Hyderabad.

Our Story:

The sky is the limit at Meltwater.

At Meltwater, we believe that when you have the right people in the right working environment, great things happen. Our best-in-class technology empowers our 27,000 customers around the world to analyse over a billion pieces of data each day and make better business decisions.

Our award-winning culture is our north star and drives everything we do – from striving to create an environment where all employees do their best work, to delivering customer value by continuously innovating our products — and making sure to celebrate our successes and have fun along the way.

We’re proud of our diverse team of 2,300+ employees in 50 locations across 25 countries around the world. No matter where you are, you’ll work with people who care about your success and get the support you need to reach your goals.

So, in a nutshell, that’s Meltwater. We love working here, and we think you will too.

About Unilog

Unilog is the only connected product content and eCommerce provider serving the Wholesale Distribution, Manufacturing, and Specialty Retail industries. Our flagship CX1 Platform is at the center of some of the most successful digital transformations in North America. CX1 Platform’s syndicated product content, integrated eCommerce storefront, and automated PIM tool simplify our customers' path to success in the digital marketplace.

With more than 500 customers, Unilog is uniquely positioned as the leader in eCommerce and product content for Wholesale distribution, manufacturing, and specialty retail.

About the Role

We are looking for a highly motivated Innovation Engineer to join our CTO Office and drive the exploration, prototyping, and adoption of next-generation technologies. This role offers a unique opportunity to work at the forefront of AI/ML, Generative AI (Gen AI), Large Language Models (LLMs), Vertex AI, MCP, Vector Databases, AI Search, Agentic AI, Automation.

As an Innovation Engineer, you will be responsible for identifying emerging technologies, building proof-of-concepts (PoCs), and collaborating with cross-functional teams to define the future of AI-driven solutions. Your work will directly influence the company’s technology strategy and help shape disruptive innovations.

Key Responsibilities

1. Research Implementation: Stay ahead of industry trends, evaluate emerging AI/ML technologies, and prototype novel solutions in areas like Gen AI, Vector Search, AI Agents, VertexAI, MCP and Automation.
2. Proof-of-Concept Development: Rapidly build, test, and iterate PoCs to validate new technologies for potential business impact.
3. AI/ML Engineering: Design and develop AI/ML models, AI Agents, LLMs, intelligent search capabilities leveraging Vector embeddings.
4. Vector AI Search: Explore vector databases and optimize retrieval-augmented generation (RAG) workflows.
5. Automation AI Agents: Develop autonomous AI agents and automation frameworks to enhance business processes.
6. Collaboration Thought Leadership: Work closely with software developers and product teams to integrate innovations into production-ready solutions.
7. Innovation Strategy: Contribute to the technology roadmap, patents, and research papers to establish leadership in emerging domains.

Required Qualifications

1. 4–10 years of experience in AI/ML, software engineering, or a related field.
2. Strong hands-on expertise in Python, TensorFlow, PyTorch, LangChain, Hugging Face, OpenAI APIs, Claude, Gemini, VertexAI, MCP.
3. Experience with LLMs, embeddings, AI search, vector databases (e.g., Pinecone, FAISS, Weaviate, PGVector), MCP and agentic AI (Vertex, Autogen, ADK)
4. Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML infrastructure.
5. Strong problem-solving skills and a passion for innovation.
6. Ability to communicate complex ideas effectively and work in a fast-paced, experimental environment.

Preferred Qualifications

• Experience with multi-modal AI (text, vision, audio), reinforcement learning, or AI security.
• Knowledge of data pipelines, MLOps, and AI governance.
• Contributions to open-source AI/ML projects or published research papers.

Why Join Us?

• Work on cutting-edge AI/ML innovations with the CTO Office.
• Influence the company’s future AI strategy and shape emerging technologies.
• Competitive compensation, growth opportunities, and a culture of continuous learning.

About Our Benefits

Unilog offers a competitive total rewards package including competitive salary, multiple medical, dental, and vision plans to meet all our employees’ needs, career development, advancement opportunities, annual merit, a generous time-off policy, and a flexible work environment.

Unilog is committed to building the best team and we are committed to fair hiring practices where we hire people for their potential and advocate for diversity, equity, and inclusion. As such, we do not discriminate or make decisions based on your race, color, religion, creed, ancestry, sex, national origin, age, disability, familial status, marital status, military status, veteran status, sexual orientation, gender identity, or expression, or any other protected class.

About HelloRamp.ai

HelloRamp is on a mission to revolutionize media creation for automotive and retail using AI. Our platform powers 3D/AR experiences for leading brands like Cars24, Spinny, and Samsung. We’re now building the next generation of Computer Vision + AI products, including cutting-edge NeRF pipelines and AI-driven video generation.

What You’ll Work On

• Develop and optimize Computer Vision pipelines for large-scale media creation.
• Implement NeRF-based systems for high-quality 3D reconstruction.
• Build and fine-tune AI video generation models using state-of-the-art techniques.
• Optimize AI inference for production (CUDA, TensorRT, ONNX).
• Collaborate with the engineering team to integrate AI features into scalable cloud systems.
• Research latest AI/CV advancements and bring them into production.

Skills & Experience

• Strong Python programming skills.
• Deep expertise in Computer Vision and Machine Learning.
• Hands-on with PyTorch/TensorFlow.
• Experience with NeRF frameworks (Instant-NGP, Nerfstudio, Plenoxels) and/or video synthesis models.
• Familiarity with 3D graphics concepts (meshes, point clouds, depth maps).
• GPU programming and optimization skills.

Nice to Have

• Knowledge of Three.js or WebGL for rendering AI outputs on the web.
• Familiarity with FFmpeg and video processing pipelines.
• Experience in cloud-based GPU environments (AWS/GCP).

Why Join Us?

• Work on cutting-edge AI and Computer Vision projects with global impact.
• Join a small, high-ownership team where your work matters.
• Opportunity to experiment, publish, and contribute to open-source.
• Competitive pay and flexible work setup.

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots, and develops agentic AI solutions for companies across industries including energy and utilities.

Through Moative Labs, we aspire to build AI-led products and launch AI startups in vertical markets.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League alumni, ex-Googlers, and successful entrepreneurs.

Business Context

Moative is looking for a Data Science Project Manager to lead a long-term engagement for a Houston-based utilities company. As part of this engagement, we will develop advanced AI/ML models for load forecasting, energy pricing, trading strategies, and related areas.

We have a high-performing team of data scientists and ML engineers based in Chennai, India, along with an on-site project manager in Houston, TX.

Work You’ll Do

As a Data Science Project Manager, you’ll wear two hats. On one hand, you’ll act as a project manager — engaging with clients, understanding business priorities, and discussing solution or algorithm approaches. You will coordinate with the on-site project manager to manage timelines and ensure quality delivery. You’ll also handle client communication, setting expectations, gathering feedback, and keeping the engagement in good health.

On the other hand, you’ll act as a senior data scientist — overseeing junior data scientists and analysts, guiding the offshore team on data science, engineering, and business challenges, and providing expertise in statistical and mathematical concepts, algorithms, and model development.

The ideal candidate has a strong background in statistics, machine learning, and programming, along with business acumen and project management skills.

Responsibilities

• Client Engagement: Act as the primary point of contact for clients on data science requirements. Support the on-site PM in managing client needs and build strong stakeholder relationships.
• Project Coordination: Lead the offshore team, ensure alignment on project goals, and work with clients to define scope and deliverables.
• Team Management: Supervise the offshore AI/ML team, ensure milestones are met, and provide domain/technical guidance.
• Data Science Leadership: Mentor teams, create frameworks for scalable solutions, and drive adoption of best practices in AI/ML lifecycle.
• Quality Assurance: Work with the offshore PM to implement QA processes that ensure accuracy and reliability.
• Risk Management: Identify risks and develop mitigation strategies.
• Stakeholder Communication: Provide regular updates on progress, challenges, and achievements.

Who You Are

You are a Project Manager passionate about delivering high-quality, data-driven solutions through robust project management practices. You have experience managing data-heavy projects in an onsite-offshore model with significant client engagement. You also bring some hands-on experience in data science and analytics, preferably in energy/utilities or financial risk/trading. You thrive in ambiguity, take initiative, and can confidently defend your decisions.

Requirements & Skills

• 8+ years of experience applying data science methods to real-world data, ideally in Energy & Utilities or financial risk/commodities trading.
• 3+ years of experience leading data science teams delivering AI/ML solutions.
• Deep familiarity with a range of methods and algorithms: time-series analysis, regression, experimental design, optimization, etc.
• Strong understanding of ML algorithms, including deep learning, neural networks, NLP, and more.
• Proficient in cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and MLOps platforms (MLflow, etc.).
• Broad understanding of data structures, data engineering, and architectures.
• Strong interpersonal skills: result-oriented, proactive, and capable of handling multiple projects.
• Ability to collaborate effectively, take accountability, and stay composed under stress.
• Excellent verbal and written communication skills for both technical and non-technical stakeholders.
• Proven ability to identify and resolve issues quickly and efficiently.

Working at Moative

Moative is a young company, but we believe in thinking long-term while acting with urgency. Our ethos is rooted in innovation, efficiency, and high-quality outcomes. We believe the future of work is AI-augmented and boundaryless.

Guiding Principles

• Think in decades. Act in hours. Decisions for the long-term, execution in hours/days.
• Own the canvas. Fix or improve anything not done right, regardless of who did it.
• Use data or don’t. Avoid political “cover-my-back” use of data; balance intuition with data-driven approaches.
• Avoid work about work. Keep processes lean; meetings should be rare and purposeful.
• High revenue per person. Default to automation, multi-skilling, and high-quality output instead of unnecessary hiring.

Additional Details

The position is based out of Chennai and involves significant in-person collaboration. Applicants should demonstrate being in the 90th percentile or above, whether through top institutions, awards/accolades, or consistent outstanding performance.

If this role excites you, we encourage you to apply — even if you don’t check every box.

Role Overview

As a Data Scientist, you will play a key role in improving and optimising the models that drive Arctan’s real-time speech AI. You’ll work on analysing, processing, and modelling data to make our systems smarter.

Specifically, you’ll:

• Develop and fine-tune Speech to Speech machine learning models
• Experiment with data-driven solutions to enhance AI performance.
• Work on feature engineering and dataset preparation to train robust models.
• Collaborate with the team to evaluate and deploy models into production.

What we’re looking for:

• Strong problem-solving skills, paired with a passion for learning.
• 1-3 years of experience in Data Science and related fields.
• Experience with speech processing or NLP.
• Proficiency in Python and familiarity with data science libraries.
• Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with working on datasets and data preprocessing techniques.

Benefits And Perks:

• You’ll be joining an early stage startup building foundational Speech models
• Being a part of a small, high talent density team would accelerate your career growth
• You'll wear multiple hats, own meaningful projects, and build things that ship.

We’re seeking a highly skilled, execution-focused Data Scientist with 4–10 years of experience to join our team. This role demands hands-on expertise in fine-tuning and deploying generative AI models across image, video, and audio domains — with a special focus on lip-sync, character consistency, and automated quality evaluation frameworks. You will be expected to run rapid experiments, test architectural variations, and deliver working model iterations quickly in a high-velocity R&D environment.

Responsibilities

• Run end-to-end fine-tuning experiments on state-of-the-art models (Flux family, LoRA, diffusion-based architectures, context-based composition).
• Develop and optimize generative AI models for audio generation and lip-sync, ensuring high fidelity and natural delivery.
• Extend current language models to support regional Indian languages beyond US/UK English for audio and content generation.
• Enable emotional delivery in generated audio (shouting, crying, whispering) to enhance realism.
• Integrate and synchronize background scores seamlessly with generated video content.
• Work towards achieving video quality standards comparable to Veo3/Sora.
• Ensure consistency in scenes and character generation across multiple outputs.
• Design and implement an automated objective evaluation frameworks to replace subjective human review — for cover images, video frames, and audio clips. Implement scoring systems that standardize quality checks before editorial approval.
• Run comparative tests across multiple model architectures to evaluate trade-offs in quality, speed, and efficiency.
• Drive initiatives independently, showcasing high agency and accountability. Utilize strong first-principle thinking to tackle complex challenges.
• Apply a research-first approach with rapid experimentation in the fast-evolving Generative AI space.

Requirements

• 4-10 years of experience in Data Science, with a strong focus on Generative AI.
• Familiarity with state-of-the-art models in generative AI (e.g., Flux, diffusion models, GANs).
• Proven expertise in developing and deploying models for audio and video generation.
• Demonstrated experience with natural language processing (NLP), especially for regional language adaptation.
• Experience with model fine-tuning and optimization techniques.
• Hands-on exposure to ML deployment pipelines (FastAPI or equivalent).
• Strong programming skills in Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience in designing and implementing automated evaluation metrics for generative content.
• A portfolio or demonstrable experience in projects related to content generation, lip-sync, or emotional AI is a plus.
• Exceptional problem-solving skills and a proactive approach to research and experimentation.

Benefits

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies.

Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be huge. You’ll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

Job Description – AI Developer

Job Description 

We are seeking a forward-thinking AI Developer with expertise in Generative AI, Machine Learning, Data Science, and Advanced Analytics. In this role, you will design, optimize, and deploy scalable AI solutions that power automation, personalization, and decision intelligence. You will closely collaborate with data engineers, product leaders, and business stakeholders to develop production-grade AI systems aligned with the latest enterprise AI trends such as LLM, prompt engineering, multimodal AI, and trustworthy/ethical AI practices.

This is a unique opportunity to work at the forefront of AI innovation, shaping high-impact solutions that address real-world challenges across industries.

Key Responsibilities

• Design and deploy advanced Generative AI models including LLMs, diffusion models, and multimodal architectures.
• Develop and fine-tune ML/DL solutions for NLP, computer vision, time-series forecasting, and predictive analytics.
• Implement RAG pipelines, embeddings-based search, and knowledge graph integrations to enhance context-aware AI applications.
• Stay ahead of AI research, industry trends, and tools (multi-agent systems, federated learning, privacy-preserving ML).

What we are looking for

• Strong programming background in Python (primary), R & Familiar with Object Oriented Programming Language.
• Proficiency in any of the framework PyTorch, TensorFlow, SAS, ChemBerta.
• Expertise in Machine Learning & Deep Learning.
• Strong grounding in mathematics & applied statistics (linear algebra, probability, optimization).

Qualifications

• Bachelor’s, Master’s, in Computer Science, Artificial Intelligence, Data Science, or related fields. We also welcome PhD scholars.
• 0–6 years of proven experience into AI development, optimization, and production deployment.

Preferred / Nice to Have

• Someone who is passionate about GEN AI is ideal candidate & did Research contributions or open-source AI project contributions.
• Exposure to multimodal AI, agent-based systems, or reinforcement learning.
• Knowledge of AI safety, interpretability frameworks, and responsible AI practices.

Job Title: AI Architecture Intern

Company: PGAGI Consultancy Pvt. Ltd.

Location: Remote

Employment Type: Internship

Position Overview

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

Duration: 6 months

Key Responsibilities:

• AI System Architecture Design: Collaborate with the technical team to design robust, scalable, and high-performance AI system architectures aligned with client requirements.
• Client-Focused Solutions: Analyze and interpret client needs to ensure architectural solutions meet expectations while introducing innovation and efficiency.
• Methodology Development: Assist in the formulation and implementation of best practices, methodologies, and frameworks for sustainable AI system development.
• Technology Stack Selection: Support the evaluation and selection of appropriate tools, technologies, and frameworks tailored to project objectives and future scalability.
• Team Collaboration & Learning: Work alongside experienced AI professionals, contributing to projects while enhancing your knowledge through hands-on involvement.

Requirements:

• Strong understanding of AI concepts, machine learning algorithms, and data structures.
• Familiarity with AI development frameworks (e.g., TensorFlow, PyTorch, Keras).
• Proficiency in programming languages such as Python, Java, or C++.
• Demonstrated interest in system architecture, design thinking, and scalable solutions.
• Up-to-date knowledge of AI trends, tools, and technologies.
• Ability to work independently and collaboratively in a remote team environment

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

Compensation:

- Joining Bonus: A one-time bonus of INR 2,500 will be awarded upon joining.

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

After completion of the internship period, there is a chance to get a full-time opportunity as an AI/ML engineer (Up to 12 LPA).

Preferred Experience:

• Prior experience in roles such as AI Solution Architect, ML Architect, Data Science Architect, or AI/ML intern.
• Exposure to AI-driven startups or fast-paced technology environments.
• Proven ability to operate in dynamic roles requiring agility, adaptability, and initiative.

Research Intern 

Position Overview

We are seeking a motivated Research Intern to join our AI research team, focusing on Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) technologies. The intern will play a crucial role in evaluating our proprietary models against industry benchmarks, analyzing competitive voice agent platforms, and contributing to cutting-edge research in speech AI technologies.

Key Responsibilities

Model Evaluation & Benchmarking

• Conduct comprehensive evaluation of our TTS and ASR models against existing state-of-the-art models
• Design and implement evaluation metrics and frameworks for speech quality assessment
• Perform comparative analysis of model performance across different datasets and use cases
• Generate detailed reports on model strengths, weaknesses, and improvement opportunities

Competitive Analysis

• Evaluate and compare our voice agent platform with existing solutions (Vapi, Bland AI, and other competitors)
• Analyze feature sets, performance metrics, and user experience across different voice agent platforms
• Conduct technical deep-dives into competitive architectures and methodologies
• Provide strategic recommendations based on competitive landscape analysis

Research & Innovation

• Monitor and analyze emerging trends in ASR, TTS, and voice AI technologies
• Research novel approaches to improve ASR and TTS model performance
• Investigate new architectures, training techniques, and optimization methods
• Stay current with academic literature and industry developments in speech AI

Model Development & Training

• Assist in training TTS and ASR models on various datasets
• Implement and experiment with different model architectures and configurations
• Perform model fine-tuning for specific use cases and domains
• Optimize models for different deployment scenarios (edge, cloud, real-time)
• Conduct data preprocessing and augmentation for training datasets

Documentation & Reporting

• Maintain detailed documentation of experiments, methodologies, and results
• Prepare technical reports and presentations for internal stakeholders
• Contribute to research publications and technical blog posts
• Create visualization and analysis tools for model performance tracking

Required Qualifications

Education & Experience

• Currently pursuing or recently completed Bachelor's/Master's degree in Computer Science, Electrical Engineering, Machine Learning, or related field
• Strong academic background in machine learning, deep learning, and signal processing
• Previous experience with speech processing, NLP, or audio ML projects (academic or professional)

Technical Skills

• Programming Languages: Proficiency in Python; experience with PyTorch, TensorFlow
• Speech AI Frameworks: Experience with libraries like librosa, torchaudio, speechbrain, or similar
• Machine Learning: Strong understanding of deep learning architectures, training procedures, and evaluation methods
• Data Processing: Experience with audio data preprocessing, feature extraction, and dataset management
• Tools & Platforms: Familiarity with Colab or Jupyter notebooks, Git, Docker, and cloud platforms (AWS/GCP/Azure)

Preferred Qualifications

• Experience with transformer architectures, attention mechanisms, and sequence-to-sequence models
• Knowledge of speech synthesis techniques (WaveNet, Tacotron, FastSpeech, etc.)
• Understanding of ASR architectures (Wav2Vec, Whisper, Conformer, etc.)
• Experience with model optimization techniques (quantization, pruning, distillation)
• Familiarity with MLOps tools and model deployment pipelines
• Previous work with voice AI applications or conversational AI systems

Skills & Competencies

Technical Competencies

• Strong analytical and problem-solving abilities
• Ability to design and conduct rigorous experiments
• Experience with statistical analysis and performance metrics
• Understanding of audio signal processing fundamentals
• Knowledge of distributed training and large-scale model development

Soft Skills

• Excellent written and verbal communication skills
• Ability to work independently and manage multiple projects
• Strong attention to detail and commitment to reproducible research
• Collaborative mindset and ability to work in cross-functional teams
• Curiosity and passion for staying current with AI research trends

What You'll Gain

Learning Opportunities

• Hands-on experience with state-of-the-art speech AI technologies
• Exposure to full model development lifecycle from research to deployment
• Mentorship from experienced AI researchers and engineers
• Opportunity to contribute to cutting-edge research projects

Professional Development

• Experience with industry-standard tools and methodologies
• Opportunity to present research findings to technical and business stakeholders
• Potential for research publication and conference presentations
• Networking opportunities within the AI research community

Senior Machine Learning Engineer

📍 Location: Remote

💼 Type: Full-Time

💰 Salary: $800 - $1,000 USD / month

Apply at: https://forms.gle/Fwti67UeTEkx2Kkn6

About Us

At Momenta, we're committed to creating a safer digital world by protecting individuals and businesses from voice-based fraud and scams. Through innovative AI technology and community collaboration, we're building a future where communication is secure and trustworthy.

Position Overview

We’re hiring a Senior Machine Learning Engineer with deep expertise in audio signal processing and neural network-based detection. The selected engineer will be responsible for delivering a production-grade, real-time deepfake detection pipeline as part of a time-sensitive, high-stakes 3-month pilot deployment.

Key Responsibilities

📌 Design and Deliver Core Detection Pipeline

Lead the development of a robust, modular deepfake detection pipeline capable of ingesting, processing, and classifying real-time audio streams with high accuracy and low latency. Architect the system to operate under telecom-grade conditions with configurable interfaces and scalable deployment strategies.

📌 Model Strategy, Development, and Optimization

Own the experimentation and refinement of state-of-the-art deep learning models for voice fraud detection. Evaluate multiple model families, benchmark performance across datasets, and strategically select or ensemble models that balance precision, robustness, and compute efficiency for real-world deployment.

📌 Latency-Conscious Production Readiness

Ensure the entire detection stack meets strict performance targets, including sub-20ms inference latency. Apply industry best practices in model compression, preprocessing optimization, and system-level integration to support high-throughput inference on both CPU and GPU environments.

📌 Evaluation Framework and Continuous Testing

Design and implement a comprehensive evaluation suite to validate model accuracy, false positive rates, and environmental robustness. Conduct rigorous testing across domains, including cross-corpus validation, telephony channel effects, adversarial scenarios, and environmental noise conditions.

📌 Deployment Engineering and API Integration

Deliver a fully containerized, production-ready inference service with REST/gRPC endpoints. Build CI/CD pipelines, integration tests, and monitoring hooks to ensure system integrity, traceability, and ease of deployment across environments.

Required Skills & Qualifications

🎯 Technical Skills:

ML Frameworks: PyTorch, TensorFlow, ONNX, OpenVINO, TorchScript

Audio Libraries: Librosa, Torchaudio, FFmpeg

Model Development: CNNs, Transformers, Wav2Vec/WavLM, AASIST, RawNet

Signal Processing: VAD, noise reduction, band-pass filtering, codec simulation

Optimization: Quantization, pruning, GPU acceleration

DevOps: Git, Docker, CI/CD, FastAPI or Flask, REST/gRPC

🎯 Preferred Experience:

Prior work on audio deepfake detection or telephony speech processing

Experience with real-time ML model deployment

Understanding of adversarial robustness and domain adaptation

Familiarity with call center environments or telecom-grade constraints

Compensation & Career Path:

Competitive pay based on experience and capability. ($800 - $1,000 USD / month)

Full-time with potential for conversion to a core team role.

Opportunity to lead future research and production deployments as part of our AI division.

Why Join Momenta?

Solve a global security crisis with cutting-edge AI.

Own a deliverable that will ship into production at scale.

Join a fast-growing team with seasoned founders and engineers.

Fully remote, high-autonomy environment focused on deep work.

🚀 Apply now and help shape the future of voice security

Technical Expertise

• Advanced proficiency in Python
• Expertise in Deep Learning Frameworks: PyTorch and TensorFlow
• Experience with Computer Vision Models:
• YOLO (Object Detection)
• UNet, Mask R-CNN (Segmentation)
• Deep SORT (Object Tracking)

Real-Time & Deployment Skills

• Real-time video analytics and inference optimization
• Model pipeline development using:
• Docker
• Git
• MLflow or similar tools
• Image processing proficiency: OpenCV, NumPy
• Deployment experience on Linux-based GPU systems and edge devices (Jetson Nano, Google Coral, etc.)

Professional Background

• Minimum 4+ years of experience in AI/ML, with a strong focus on Computer Vision and System-Level Design
• Educational qualification: B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or a related field
• Strong project portfolio or experience in production-level deployments

A Concise Glimpse into the Role

We’re on the hunt for young, energetic, and hustling talent ready to bring fresh ideas and unstoppable drive to the table.

This isn’t just another role—it’s a launchpad for change-makers. If you’re driven to disrupt, innovate, and challenge the norm, we want you to make your mark with us.

Are you ready to redefine the future?

Apply now and step into a career where your ideas power the impossible!

Your Time Will Be Invested In

·      AI/ML Model Innovation and Research

·      Are you ready to lead transformative projects at the cutting edge of AI and machine learning? We're looking for a visionary mind with a passion for building ground breaking solutions that redefine the possible.

 What You'll Own

Pioneering AI/ML Model Innovation

·      Take ownership of designing, developing, and deploying sophisticated AI and ML models that push boundaries.

·      Spearhead the creation of generative AI applications that revolutionize real-world experiences.

·      Drive end-to-end implementation of AI-driven products with a focus on measurable impact.

Data Engineering and Advanced Development

·      Architect robust pipelines for data collection, pre-processing, and analysis, ensuring precision at every stage.

·      Deliver clean, scalable, and high-performance Python code that empowers our AI systems to excel.

Trailblazing Research and Strategic Collaboration

·      Dive into the latest research to stay ahead of AI/ML trends, identifying opportunities to integrate state-of-the-art techniques.

·      Foster innovation by brainstorming with a dynamic team to conceptualize novel AI solutions.

·      Elevate the team's expertise by preparing insightful technical documentation and presenting actionable findings.

What We Want You to Have

·      1-2 years' experience with live AI project experience, from conceptualization to real-world deployment.

·      Foundational knowledge in AI, ML, and generative AI applications.

·      Proficient in Python and familiar with libraries like TensorFlow, PyTorch, Scikit-learn.

·      Experience working with structured & unstructured data, as well as predictive analytics.

·      Basic understanding of Deep Learning Techniques.

·      Knowledge of AutoGen for building scalable multi-agent AI systems & familiarity with LangChain or similar frameworks for building AI Agents. 

·      Knowledge of using AI tools like VS Copilot.

·      Proficient in working with vector databases for managing and retrieving data.

·      Understanding of AI/ML deployment tools such as Docker, Kubernetes.

·      Understanding JavaScript, TypeScript with React and Tailwind.

·      Proficiency in Prompt Engineering for various use cases, including content generation and data extraction.

·      Ability to work independently and as part of a collaborative team.

·      Excellent communication skills and a strong willingness to learn.

Nice to Have

·      Prior project or coursework experience in AI/ML.

·      Background in Big Data technologies (Spark, Hadoop, Databricks).

·      Experience with containerization and deployment tools.

·      Proficiency in SQL & NoSQL databases.

·      Familiarity with Data Visualization tools (e.g., Matplotlib, Seaborn).

Soft Skills

·      Strong problem-solving and analytical capabilities.

·      Excellent teamwork and interpersonal communication.

·      Ability to thrive in a fast-paced and innovation-driven environment.

Role : AIML Engineer

Location : Madurai

Experience : 5 to 10 Yrs

Mandatory Skills : AIML, Python, SQL, ML Models, PyTorch, Pandas, Docker, AWS

Language: Python

DBs : SQL

Core Libraries:

Time Series & Forecasting: pmdarima, statsmodels, Prophet, GluonTS, NeuralProphet

SOTA ML : ML Models, Boosting & Ensemble models etc.

Explainability : Shap / Lime

Required skills:

• Deep Learning: PyTorch, PyTorch Forecasting,
• Data Processing: Pandas, NumPy, Polars (optional), PySpark
• Hyperparameter Tuning: Optuna, Amazon SageMaker Automatic Model Tuning
• Deployment & MLOps: Batch & Realtime with API endpoints, MLFlow
• Serving: TorchServe, Sagemaker endpoints / batch
• Containerization: Docker
• Orchestration & Pipelines: AWS Step Functions, AWS SageMaker Pipelines

AWS Services:

• SageMaker (Training, Inference, Tuning)
• S3 (Data Storage)
• CloudWatch (Monitoring)
• Lambda (Trigger-based Inference)
• ECR, ECS or Fargate (Container Hosting)

We're hiring a skilled AI Developer to join our growing team at Geo Wave Pvt Ltd, based in Malé, Maldives. You’ll lead the development of smart automation tools, reporting dashboards, and AI systems to optimize our internal operations across fuel, logistics, and finance.

Responsibilities:

• Build and deploy AI-powered business tools
• Implement OCR/NLP solutions for document automation
• Create custom dashboards and backend APIs
• Automate workflows for reporting, inventory, and sales tracking

Must-Have Skills:

Python, Flask/FastAPI, TensorFlow/PyTorch, OCR/NLP, API development

Good-to-Have:

React.js, PostgreSQL, AWS/GCP, Docker

About Us

Alfred Capital - Alfred Capital is a next-generation on-chain proprietary quantitative trading technology provider, pioneering fully autonomous algorithmic systems that reshape trading and capital allocation in decentralized finance. 

As a sister company of Deqode — a 400+ person blockchain innovation powerhouse — we operate at the cutting edge of quant research, distributed infrastructure, and high-frequency execution.

What We Build

• Alpha Discovery via On‑Chain Intelligence — Developing trading signals using blockchain data, CEX/DEX markets, and protocol mechanics.
• DeFi-Native Execution Agents — Automated systems that execute trades across decentralized platforms.
• ML-Augmented Infrastructure — Machine learning pipelines for real-time prediction, execution heuristics, and anomaly detection.
• High-Throughput Systems — Resilient, low-latency engines that operate 24/7 across EVM and non-EVM chains tuned for high-frequency trading (HFT) and real-time response
• Data-Driven MEV Analysis & Strategy — We analyze mempools, order flow, and validator behaviors to identify and capture MEV opportunities ethically—powering strategies that interact deeply with the mechanics of block production and inclusion.

Evaluation Process

• HR Discussion – A brief conversation to understand your motivation and alignment with the role.
• Initial Technical Interview – A quick round focused on fundamentals and problem-solving approach.
• Take-Home Assignment – Assesses research ability, learning agility, and structured thinking.
• Assignment Presentation – Deep-dive into your solution, design choices, and technical reasoning.
• Final Interview – A concluding round to explore your background, interests, and team fit in depth.
• Optional Interview – In specific cases, an additional round may be scheduled to clarify certain aspects or conduct further assessment before making a final decision.

Blockchain Data & ML Engineer

As a Blockchain Data & ML Engineer, you’ll work on ingesting and modeling on-chain behavior, building scalable data pipelines, and designing systems that support intelligent, autonomous market interaction.

What You’ll Work On

• Build and maintain ETL pipelines for ingesting and processing blockchain data.
• Assist in designing, training, and validating machine learning models for prediction and anomaly detection.
• Evaluate model performance, tune hyperparameters, and document experimental results.
• Develop monitoring tools to track model accuracy, data drift, and system health.
• Collaborate with infrastructure and execution teams to integrate ML components into production systems.
• Design and maintain databases and storage systems to efficiently manage large-scale datasets.

Ideal Traits

• Strong in data structures, algorithms, and core CS fundamentals.
• Proficiency in any programming language
• Curiosity about how blockchain systems and crypto markets work under the hood.
• Self-motivated, eager to experiment and learn in a dynamic environment.

Bonus Points For

• Hands-on experience with pandas, numpy, scikit-learn, or PyTorch.
• Side projects involving automated ML workflows, ETL pipelines, or crypto protocols.
• Participation in hackathons or open-source contributions.

What You’ll Gain

• Cutting-Edge Tech Stack: You'll work on modern infrastructure and stay up to date with the latest trends in technology.
• Idea-Driven Culture: We welcome and encourage fresh ideas. Your input is valued, and you're empowered to make an impact from day one.
• Ownership & Autonomy: You’ll have end-to-end ownership of projects. We trust our team and give them the freedom to make meaningful decisions.
• Impact-Focused: Your work won’t be buried under bureaucracy. You’ll see it go live and make a difference in days, not quarters

What We Value:

• Craftsmanship over shortcuts: We appreciate engineers who take the time to understand the problem deeply and build durable solutions—not just quick fixes.
• Depth over haste: If you're the kind of person who enjoys going one level deeper to really "get" how something works, you'll thrive here.
• Invested mindset: We're looking for people who don't just punch tickets, but care about the long-term success of the systems they build.
• Curiosity with follow-through: We admire those who take the time to explore and validate new ideas, not just skim the surface.

Compensation:

• INR 6 - 12 LPA
• Performance Bonuses: Linked to contribution, delivery, and impact.

Key Responsibilities :

- Algorithm Development : Design and optimize computer vision and deep learning algorithms for 3D applications.

- Model Deployment : Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment on edge devices after optimization to meet customer requirements

- Research and Innovation : Prototype new solutions based on the latest advancements in AI, machine learning, and computer vision.

- Cross-Functional Collaboration : Integrate algorithms into 3D rendering systems and work closely with the team to meet project goals. Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints

- Documentation : Maintain code quality and document solutions for easy reference.

Qualifications :

- Experience : 3 or 3+ years in computer vision, deep learning, and AI.

- Education : Bachelor's or Master's in Computer Science, Data Science, Electrical Engineering, or related field.

Technical Skills :

- Proficiency in C, C++, OpenGL, Objective C, Swift, Python, PyTorch, TensorFlow, and OpenCV.

- Understanding about depth and breadth of computer vision and deep learning algorithms.

- Knowledge of algorithms and data structures relevant to computer vision.

- Hands-on experience with NVIDIA platforms IGX, Jetson, or Xavier. (Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit)

- Concepts of parallel architecture on GPU is an added advantage.

- Knowledge in linear algebra, calculus, and statistics

- Preferred : Knowledge of AR/VR, 3D vision, and AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes)

You will:

• Collaborate with the I-Stem Voice AI team and CEO to design, build and ship new agent capabilities
• Develop, test and refine end-to-end voice agent models (ASR, NLU, dialog management, TTS)
• Stress-test agents in noisy, real-world scenarios and iterate for improved robustness and low latency
• Research and prototype cutting-edge techniques (e.g. robust speech recognition, adaptive language understanding)
• Partner with backend and frontend engineers to seamlessly integrate AI components into live voice products
• Monitor agent performance in production, analyze failure cases, and drive continuous improvement
• Occasionally demo our Voice AI solutions at industry events and user forums

You are:

• An AI/Software Engineer with hands-on experience in speech-centric ML (ASR, NLU or TTS)
• Skilled in building and tuning transformer-based speech models and handling real-time audio pipelines
• Obsessed with reliability: you design experiments to push agents to their limits and root-cause every error
• A clear thinker who deconstructs complex voice interactions from first principles
• Passionate about making voice technology inclusive and accessible for diverse users
• Comfortable moving fast in a small team, yet dogged about code quality, testing and reproducibility

Job Title : Senior Machine Learning Engineer

Experience : 8+ Years

Location : Chennai

Notice Period : Immediate Joiners Only

Work Mode : Hybrid

Job Summary :

We are seeking an experienced Machine Learning Engineer with a strong background in Python, ML algorithms, and data-driven development.

The ideal candidate should have hands-on experience with popular ML frameworks and tools, solid understanding of clustering and classification techniques, and be comfortable working in Unix-based environments with Agile teams.

Mandatory Skills :

• Programming Languages : Python
• Machine Learning : Strong experience with ML algorithms, models, and libraries such as Scikit-learn, TensorFlow, and PyTorch
• ML Concepts : Proficiency in supervised and unsupervised learning, including techniques such as K-Means, DBSCAN, and Fuzzy Clustering
• Operating Systems : RHEL or any Unix-based OS
• Databases : Oracle or any relational database
• Version Control : Git
• Development Methodologies : Agile

Desired Skills :

• Experience with issue tracking tools such as Azure DevOps or JIRA.
• Understanding of data science concepts.
• Familiarity with Big Data algorithms, models, and libraries.

What You'll Do:

Design, develop, and deploy machine learning models for real-world applications

Work with large datasets, perform data preprocessing, feature engineering, and model evaluation

Collaborate with cross-functional teams to integrate ML solutions into production

Stay up to date with the latest ML/AI research and technologies

What We’re Looking For:

Solid experience with Python and popular ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)

Experience with data pipelines, model deployment, and performance tuning

Familiarity with cloud platforms (AWS/GCP/Azure) is a plus

Strong problem-solving and analytical skills

Excellent communication and teamwork abilities

Job Title: AI & ML Developer

Experience: 1+ Years

Location: Hyderabad

Company: VoltusWave Technologies India Private Limited

Job Summary:

We are looking for a passionate and skilled AI & Machine Learning Developer with over 1 year of experience to join our growing team. You will be responsible for developing, implementing, and maintaining ML models and AI-driven applications that solve real-world business problems.

Key Responsibilities:

• Design, build, and deploy machine learning models and AI solutions.
• Work with large datasets to extract meaningful insights and develop algorithms.
• Preprocess, clean, and transform raw data for training and evaluation.
• Collaborate with data scientists, software developers, and product teams to integrate models into applications.
• Monitor and maintain the performance of deployed models.
• Stay updated with the latest developments in AI, ML, and data science.

Required Skills:

• Strong understanding of machine learning algorithms and principles.
• Experience with Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, Keras, etc.
• Familiarity with data processing tools like Pandas, NumPy, etc.
• Basic knowledge of deep learning and neural networks.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly).
• Knowledge of model evaluation and optimization techniques.
• Familiarity with version control (Git), Jupyter Notebooks, and cloud environments (AWS, GCP, or Azure) is a plus.

Educational Qualification:

• Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.

Nice to Have:

• Exposure to NLP, Computer Vision, or Time Series Analysis.
• Experience with ML Ops or deployment pipelines.
• Understanding of REST APIs and integration of ML models with web apps.

Why Join Us:

• Work on real-time AI & ML projects.
• Opportunity to learn and grow in a fast-paced, innovative environment.
• Friendly and collaborative team culture.
• Career development support and training.

Description

Job Summary

We are seeking a visionary Senior AI Engineer with a minimum of 3+ years of experience to lead the development of an advanced AI system leveraging CrewAI and LangChain tools to build intelligent, collaborative multi-agent systems for the logistics domain. The role includes designing AI agents capable of handling complex tasks, optimizing workflows, and conducting A/B and beta testing to ensure robust, scalable performance under diverse conditions. This is an opportunity to shape cutting-edge AI systems and revolutionize logistics operations.

Responsibilities:

1. Design & Architecture:

 Architect and implement a multi-agent AI system using CrewAI for task collaboration, communication, and real-time logistics optimization.

 Integrate LangChain tools for natural language understanding, contextual reasoning, and knowledge retrieval.

 Ensure the system is designed to allow comprehensive testing, iteration, and improvement.

2. AI Agent Development:

 Develop autonomous agents capable of dynamic decision-making, task delegation, and seamless inter-agent communication.

 Use LangChain to enhance agent capabilities, such as reasoning over unstructured data and interfacing with external knowledge bases.

3. A/B Testing & Experimentation:

 Design and execute A/B tests to compare AI agent strategies, workflows, and decision-making models under varying scenarios.

 Develop and implement metrics for evaluating system performance (e.g., latency, accuracy, scalability).

 Use experimentation frameworks to test hypotheses and gather insights on system improvements.

4. Beta Testing & Real-World Simulation:

 Set up controlled beta testing environments that mimic real-world logistics operations.

 Simulate edge cases, bottlenecks, and high-load scenarios to ensure system robustness and scalability.

 Gather feedback from beta users and iterate on the system to address discovered issues.

5. Progress Demonstration:

 Develop dashboards and visualizations to showcase key performance indicators (KPIs) and test results.

 Implement tools to log and track agent interactions, decision outcomes, and error rates in real-time.

 Regularly present progress to stakeholders, highlighting improvements and areas for refinement.

6. Optimization & Scalability:

 Optimize multi-agent interactions and resource allocation for real-world logistics challenges.

 Ensure the system scales seamlessly for complex operations involving high volumes of agents and data.

7. Integration:

 Seamlessly integrate the multi-agent system with logistics platforms, such as Transportation Management Systems (TMS) and Warehouse Management Systems (WMS).

 Use LangChain tools to connect agents to APIs, external knowledge graphs, and live data streams.

8. Collaboration & Leadership:

 Lead a team of engineers in developing advanced AI solutions, mentoring them on testing frameworks and innovative technologies like CrewAI and LangChain.

 Collaborate with cross-functional teams to align AI development with business needs.

9. Research & Innovation:

 Stay updated on the latest advancements in multi-agent systems, LangChain, CrewAI, and testing frameworks.

 Introduce cutting-edge techniques to continuously improve the AI system’s performance.

Required Qualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).

Experience:

• 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.

• Proven experience in conducting A/B testing and beta testing for AI systems.

• Hands-on experience with CrewAI and LangChain tools.

• Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.

• Should have practical experience with LLM application deployment.

Technical Skills:

• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).

• Strong understanding of A/B testing platforms and methodologies for AI systems.

• Expertise in building beta testing pipelines and real-world simulation environments.

• Familiarity with distributed systems, reinforcement learning, and natural language processing (NLP).

• Proficiency in using LangChain tools for chaining tasks, knowledge retrieval, and reasoning.

• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

• Good to have experience in Cursor & MCP.

• Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.

Preferred Qualifications:

 Experience in logistics systems, such as route optimization, shipment tracking, and demand forecasting.

 Familiarity with graph theory, network optimization, and blockchain for agent security.

 Background in designing scalable systems tested under diverse operational conditions.

Soft Skills:

 Strong analytical and problem-solving abilities.

 Ability to communicate technical concepts effectively to stakeholders.

 Leadership skills for mentoring teams and guiding project execution.

Artificial Intelligence Researcher

Job description 

This is a full-time on-site role for an Artificial Intelligence Researcher at Daten & Wissen in Mumbai. The researcher will be responsible for conducting cutting-edge research in areas such as Computer Vision, Natural Language Processing, Deep Learning, and Time Series Predictions. The role involves collaborating with industry partners, developing AI solutions, and contributing to the advancement of AI technologies.

Key Responsibilities:

• Design, develop, and implement computer vision algorithms for object detection, tracking, recognition, segmentation, and activity analysis.
• Train and fine-tune deep learning models (CNNs, RNNs, Transformers, etc.) for various video and image-based tasks.
• Work with large-scale datasets and annotated video data to enhance model accuracy and robustness.
• Optimize and deploy models to run efficiently on edge devices, cloud environments, and GPUs.
• Collaborate with cross-functional teams including data scientists, backend engineers, and UI/UX designers.
• Continuously explore new research, tools, and technologies to enhance our product capabilities.
• Perform model evaluation, testing, and benchmarking for accuracy, speed, and reliability.

Required Skills:

• Proficiency in Python and C++.
• Experience with object detection models like YOLO, SSD, Faster R-CNN.
• Strong understanding of classical computer vision techniques (OpenCV, image processing, etc.).
• Expertise in Machine Learning, Pattern Recognition, and Statistics.
• Experience with frameworks like TensorFlow, PyTorch, MXNet.
• Strong understanding of Deep Learning and Video Analytics.
• Experience with CUDA, Docker, Nvidia NGC Containers, and cloud platforms (AWS, Azure, GCP).
• Familiar with Kubernetes, Kafka, and model optimization for Nvidia hardware (e.g., TensorRT).

Qualifications

• 2+ years of hands-on experience in computer vision and deep learning.
• Computer Science and Data Science skills
• Expertise in Pattern Recognition
• Strong background in Research and Statistics
• Proficiency in Machine Learning algorithms
• Experience with AI frameworks such as TensorFlow or PyTorch
• Excellent problem-solving and analytical skills

Location                    : Mumbai (Bhayandar) 

Job Description:

As a Machine Learning Engineer, you will:

• Operationalize AI models for production, ensuring they are scalable, robust, and efficient.
• Work closely with data scientists to optimize machine learning model performance.
• Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment.
• Collaborate with cross-functional teams to integrate AI models into products and services.

Responsibilities:

• Develop and deploy scalable machine learning models into production environments.
• Optimize models for performance and scalability.
• Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
• Monitor and maintain model performance in production.

Key Performance Indicators (KPI) For Role:

• Success in deploying scalable and efficient AI models into production.
• Improvement in model performance and scalability post-deployment.
• Efficiency in model deployment and maintenance processes.
• Positive feedback from team members and stakeholders on AI model integration and performance.
• Adherence to best practices in machine learning engineering and deployment.

Prior Experience Required:

• 2-4 years of experience in machine learning or data science, with a focus on deploying machine learning models into production.
• Proficient in Python and familiar with data science libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience with Docker and Kubernetes for containerization and orchestration of machine learning models.
• Demonstrated ability to optimize machine learning models for performance and scalability.
• Familiarity with machine learning lifecycle management tools and practices.
• Experience in developing and maintaining scalable and robust AI systems.
• Knowledge of best practices in AI model testing, versioning, and deployment.
• Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.

Employer:

RaptorX.ai

Location:

Hyderabad

Collaboration:

The role requires collaboration with data engineers, software developers, and product managers to ensure the seamless integration of AI models into products and services.

Salary:

Competitive, based on experience.

Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Language Skills:

• Strong command of Business English, both verbal and written, is required.

Other Skills Required:

• Strong analytical and problem-solving skills.
• Proficiency in code versioning tools, such as Git.
• Ability to work in a fast-paced and evolving environment.
• Excellent teamwork and communication skills.
• Familiarity with agile development methodologies.
• Understanding of cloud computing services (AWS, Azure, GCP) and their use in deploying machine learning models is a plus.

Other Requirements:

• Proven track record of successfully deploying machine learning models into production.
• Ability to manage multiple projects simultaneously and meet deadlines.
• A portfolio showcasing successful AI/ML projects.

Founders and Leadership

RaptorX is led by seasoned founders with deep expertise in security, AI, and enterprise solutions. Our leadership team has held senior positions at global tech giants like Microsoft, Palo Alto Networks, Akamai, and Zscaler, solving critical problems at scale.

We bring not just technical excellence, but also a relentless passion for innovation and impact.

The Market Opportunity

Fraud costs the global economy trillions of dollars annually, and traditional fraud detection methods simply can't keep up. The demand for intelligent, adaptive solutions like RaptorX is massive and growing exponentially across industries like:

• Fintech and Banking
• E-commerce
• Payments

This is your chance to work on a product that addresses a multi-billion-dollar market with huge growth potential.

The Tech Space at RaptorX

We are solving large-scale, real-world problems using modern technologies, offering specialized growth paths for every tech role.

Why You Should Join Us

1. Opportunity to Grow: As an early-stage startup, every contribution you make will have a direct impact on the company’s growth and success. You’ll wear multiple hats, learn fast, and grow exponentially.
2. Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
3. Collaborate with the Best: Work alongside some of the brightest minds in the industry. Learn from leaders who have built and scaled successful products globally.
4. Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

Role Overview

We are seeking a highly skilled and innovative AI Engineer to join our dynamic team. In this role, you will design, develop, and deploy cutting-edge artificial intelligence (AI) solutions, leveraging advanced machine learning (ML) techniques and AI frameworks to address complex business challenges. You will work closely with cross-functional teams to build intelligent systems and drive innovation, with a focus on implementing and optimizing modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.

Key Responsibilities

AI Model Development

• Design, develop, and optimize AI solutions, including LLMs, RAG architectures, and Graph-based RAG systems, tailored to specific business needs.
• Develop and fine-tune models for tasks such as Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning (RL).

Prompt Engineering and AI Agents

• Work with prompt optimization to enhance LLM-based responses for specific use cases.
• Develop autonomous AI agents capable of completing multi-step tasks with minimal human intervention.

Data Processing and Management

• Collect, clean, preprocess, and organize datasets for effective AI and ML model training and evaluation.
• Leverage graph databases and vector stores for efficient data retrieval in AI-driven systems.

Algorithm Selection and Optimization

• Choose and implement appropriate algorithms, considering constraints such as scalability, interpretability, and real-time deployment requirements.
• Conduct hyperparameter tuning and optimization experiments to maximize model efficiency and accuracy.

Deployment and Integration

• Deploy AI/ML models in production-grade environments, ensuring scalability, reliability, and seamless integration with existing systems.
• Implement model monitoring pipelines to ensure performance consistency over time.

Research and Development

• Stay abreast of the latest trends and advancements in AI and ML technologies, such as transformer architectures, diffusion models, and multi-modal AI.
• Experiment with emerging tools like LangChain, Hugging Face, and OpenAI APIs to innovate solutions.

Collaboration and Knowledge Sharing

• Work closely with data scientists, software engineers, and product managers to define project requirements and deliver impactful AI solutions.
• Document workflows, processes, and findings to enable knowledge sharing and continuity across teams.

Required Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, Mathematics, or a related field.

Experience

• Minimum 3+ years in AI/ML roles with a proven track record in building and deploying AI-driven solutions.

Technical Proficiency

• Proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, scikit-learn, or Keras.
• Experience working with LLMs, transformers, and generative AI tools.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure, including AI-focused services like SageMaker and Vertex AI.
• Knowledge of vector databases (e.g., Pinecone, Milvus, Weaviate) and graph databases for RAG systems.

Analytical Expertise

• Strong understanding of advanced statistical methods, mathematical concepts, and probabilistic models.
• Ability to analyze and interpret data for actionable insights and model improvements.

Soft Skills

• Exceptional problem-solving and critical-thinking abilities.
• Strong communication skills to effectively collaborate with cross-functional teams.
• Adaptability to a fast-paced, innovation-driven environment.

Preferred Qualifications

• Hands-on experience with LangChain, Hugging Face Transformers, or OpenAI API integrations.
• Expertise in specialized AI domains like multi-modal learning, conversational AI, and prompt engineering.
• Contributions to open-source AI projects or publications in recognized AI/ML conferences or journals.
• Familiarity with deploying AI Agents in production systems.

What We Offer

• Competitive Compensation & Benefits aligned with your experience and the impact you bring.
• Opportunity for Growth in a rapidly expanding B2B SaaS company.
• Cutting-Edge Technology & Projects in the WhatsApp Business API and Click to WhatsApp Ads space.
• Collaborative Work Environment that fosters innovation, learning, and career development.
• Flexible & Inclusive Culture, where every team member has a voice and the chance to make a significant impact.

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

Mon-fri role, In office, with excellent perks and benefits!

Position Overview

We are seeking a Software Architect to lead the design and development of high-performance robotics and AI software stacks utilizing NVIDIA technologies. This role will focus on defining scalable, modular, and efficient architectures for robot perception, planning, simulation, and embedded AI applications. You will collaborate with cross-functional teams to build next-generation autonomous systems 9

Key Responsibilities:

1. System Architecture & Design

● Define scalable software architectures for robotics perception, navigation, and AI-driven decision-making.

● Design modular and reusable frameworks that leverage NVIDIA’s Jetson, Isaac ROS, Omniverse, and CUDA ecosystems.

● Establish best practices for real-time computing, GPU acceleration, and edge AI inference.

2. Perception & AI Integration

● Architect sensor fusion pipelines using LIDAR, cameras, IMUs, and radar with DeepStream, TensorRT, and ROS2.

● Optimize computer vision, SLAM, and deep learning models for edge deployment on Jetson Orin and Xavier.

● Ensure efficient GPU-accelerated AI inference for real-time robotics applications.

3. Embedded & Real-Time Systems

● Design high-performance embedded software stacks for real-time robotic control and autonomy.

● Utilize NVIDIA CUDA, cuDNN, and TensorRT to accelerate AI model execution on Jetson platforms.

● Develop robust middleware frameworks to support real-time robotics applications in ROS2 and Isaac SDK.

4. Robotics Simulation & Digital Twins

● Define architectures for robotic simulation environments using NVIDIA Isaac Sim & Omniverse.

● Leverage synthetic data generation (Omniverse Replicator) for training AI models.

● Optimize sim-to-real transfer learning for AI-driven robotic behaviors.

5. Navigation & Motion Planning

● Architect GPU-accelerated motion planning and SLAM pipelines for autonomous robots.

● Optimize path planning, localization, and multi-agent coordination using Isaac ROS Navigation.

● Implement reinforcement learning-based policies using Isaac Gym.

6. Performance Optimization & Scalability

● Ensure low-latency AI inference and real-time execution of robotics applications.

● Optimize CUDA kernels and parallel processing pipelines for NVIDIA hardware.

● Develop benchmarking and profiling tools to measure software performance on edge AI devices.

Required Qualifications:

● Master’s or Ph.D. in Computer Science, Robotics, AI, or Embedded Systems.

● Extensive experience (7+ years) in software development, with at least 3-5 years focused on architecture and system design, especially for robotics or embedded systems.

● Expertise in CUDA, TensorRT, DeepStream, PyTorch, TensorFlow, and ROS2.

● Experience in NVIDIA Jetson platforms, Isaac SDK, and GPU-accelerated AI.

● Proficiency in programming languages such as C++, Python, or similar, with deep understanding of low-level and high-level design principles.

● Strong background in robotic perception, planning, and real-time control.

● Experience with cloud-edge AI deployment and scalable architectures.

Preferred Qualifications

● Hands-on experience with NVIDIA DRIVE, NVIDIA Omniverse, and Isaac Gym

● Knowledge of robot kinematics, control systems, and reinforcement learning

● Expertise in distributed computing, containerization (Docker), and cloud robotics

● Familiarity with automotive, industrial automation, or warehouse robotics

● Experience designing architectures for autonomous systems or multi-robot systems.

● Familiarity with cloud-based solutions, edge computing, or distributed computing for robotics

● Experience with microservices or service-oriented architecture (SOA)

● Knowledge of machine learning and AI integration within robotic systems

● Knowledge of testing on edge devices with HIL and simulations (Isaac Sim, Gazebo, V-REP etc.)

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

Mon-Fri, In office role with excellent perks and benefits!

Key Responsibilities:

1. Design, develop, and maintain backend services and APIs using Node.js or Python, or Java.

2. Build and implement scalable and robust microservices and integrate API gateways.

3. Develop and optimize NoSQL database structures and queries (e.g., MongoDB, DynamoDB).

4. Implement real-time data pipelines using Kafka.

5. Collaborate with front-end developers to ensure seamless integration of backend services.

6. Write clean, reusable, and efficient code following best practices, including design patterns.

7. Troubleshoot, debug, and enhance existing systems for improved performance.

Mandatory Skills:

1. Proficiency in at least one backend technology: Node.js or Python, or Java.

2. Strong experience in:

i. Microservices architecture,

ii. API gateways,

iii. NoSQL databases (e.g., MongoDB, DynamoDB),

iv. Kafka

v. Data structures (e.g., arrays, linked lists, trees).

3. Frameworks:

i. If Java : Spring framework for backend development.

ii. If Python: FastAPI/Django frameworks for AI applications.

iii. If Node: Express.js for Node.js development.

Good to Have Skills:

1. Experience with Kubernetes for container orchestration.

2. Familiarity with in-memory databases like Redis or Memcached.

3. Frontend skills: Basic knowledge of HTML, CSS, JavaScript, or frameworks like React.js.

We are looking for a skilled AI/ML Engineer to join our team and help revolutionize the accounting and GST automation industry. If you are passionate about machine learning, data processing, and building intelligent automation solutions, this is the role for you!

📌 Job Responsibilities:

• Develop and deploy AI/ML models for data processing and automation.
• Work on OCR-based document processing and intelligent data extraction.
• Optimize machine learning algorithms for accuracy and performance.
• Collaborate with product and development teams to integrate AI solutions.
• Research and implement cutting-edge AI/ML techniques.

🛠 Skills Required:

• Strong experience in Python, TensorFlow, PyTorch, OpenCV
• Expertise in Machine Learning, Deep Learning, and NLP
• Hands-on experience with OCR tools like Tesseract, AWS Textract, or Google Vision API
• Knowledge of data preprocessing, model training, and deployment
• Familiarity with big data processing (Spark, Hadoop) is a plus

We are seeking a Senior Data Scientist with hands-on experience in Generative AI (GenAI) and Large Language Models (LLM). The ideal candidate will have expertise in building, fine-tuning, and deploying LLMs, as well as managing the lifecycle of AI models through LLMOps practices. You will play a key role in driving AI innovation, developing advanced algorithms, and optimizing model performance for various business applications.

Key Responsibilities:

• Develop, fine-tune, and deploy Large Language Models (LLM) for various business use cases.
• Implement and manage the operationalization of LLMs using LLMOps best practices.
• Collaborate with cross-functional teams to integrate AI models into production environments.
• Optimize and troubleshoot model performance to ensure high accuracy and scalability.
• Stay updated with the latest advancements in Generative AI and LLM technologies.

Required Skills and Qualifications:

• Strong hands-on experience with Generative AI, LLMs, and NLP techniques.
• Proven expertise in LLMOps, including model deployment, monitoring, and maintenance.
• Proficiency in programming languages like Python and frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Solid understanding of AI/ML algorithms and model optimization.

Job Descriptions:

1. Job Requirement

We are seeking a highly skilled Senior Generative AI Developer to join our AI/ML team. This role focuses on leveraging cutting-edge Generative AI (GenAI) technologies to drive innovation and efficiency in software development and business processes. The ideal candidate will work on advanced techniques such as Retrieval-Augmented Generation (RAG), document chunking, and data embedding across multiple vector databases. They will collaborate closely with cross-functional teams to design, implement, and optimize AI-driven solutions, with exposure to cloud-native AI platforms like Amazon Bedrock and Microsoft Azure OpenAI considered a plus.

Responsibilities:

• Develop and deploy GenAI-based applications to solve complex business problems.
• Implement RAG frameworks to enhance information retrieval and response accuracy.
• Design and optimize document chunking strategies tailored to specific data types and use cases.
• Build and manage data embeddings using various vector databases for high-performance similarity searches.
• Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines.
• Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services.
• Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape.

2. Required Technical Skillsets

Mandatory Skills:

• Proficiency in Generative AI frameworks and technologies like
• Prompt Engineering – creating specific prompts to guide LLM outputs
• Fine Tuning and Few-Shot learning – Adapting LLMs for domain-specific tasks.
• Retrieval-Augmented Generation (RAG) – Combining LLMs with external data retrieval systems
• Text-to-Text Transfer Transformation (T5) – Framework for translating tasks into text forms.
• Expertise in designing and implementing chunking strategies for diverse datasets.
• Strong knowledge of data embedding techniques and working experience with vector databases like Pinecone, Weaviate, or Milvus.
• Solid programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Familiarity with cloud platforms and services for AI/ML workloads (AWS or Azure).
• Experience with API integration for AI services and building scalable applications.

Desirable Skills:

• Hands-on experience with Amazon Bedrock and/or Microsoft Azure OpenAI services.
• Knowledge of natural language processing (NLP) techniques and large language model (LLM) fine-tuning.
• Exposure to different chunking strategies, including overlap and semantic segmentation.
• Understanding of DevOps practices for deploying and managing AI models in production.
• Strong problem-solving and analytical skills with a focus on delivering value-driven solutions.

CoinFantasy is looking for an experienced Senior AI Architect to lead both the decentralised protocol development and the design of AI-driven applications on this network. As a visionary in AI and distributed computing, you will play a central role in shaping the protocol’s technical direction, enabling efficient task distribution, and scaling AI use cases across a heterogeneous, decentralised infrastructure.

Job Responsibilities

• Architect and oversee the protocol’s development, focusing on dynamic node orchestration, layer-wise model sharding, and secure, P2P network communication.
• Drive the end-to-end creation of AI applications, ensuring they are optimised for decentralised deployment and include use cases with autonomous agent workflows.
• Architect AI systems capable of running on decentralised networks, ensuring they balance speed, scalability, and resource usage.
• Design data pipelines and governance strategies for securely handling large-scale, decentralised datasets.
• Implement and refine strategies for swarm intelligence-based task distribution and resource allocation across nodes. Identify and incorporate trends in decentralised AI, such as federated learning and swarm intelligence, relevant to various industry applications.
• Lead cross-functional teams in delivering full-precision computing and building a secure, robust decentralised network.
• Represent the organisation’s technical direction, serving as the face of the company at industry events and client meetings.

Requirements

• Bachelor’s/Master’s/Ph.D. in Computer Science, AI, or related field.
• 12+ years of experience in AI/ML, with a track record of building distributed systems and AI solutions at scale.
• Strong proficiency in Python, Golang, and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in decentralised architecture, P2P networking, and heterogeneous computing environments.
• Excellent leadership skills, with experience in cross-functional team management and strategic decision-making.
• Strong communication skills, adept at presenting complex technical solutions to diverse audiences.

About Us

CoinFantasy is a Play to Invest platform that brings the world of investment to users through engaging games. With multiple categories of games, it aims to make investing fun, intuitive, and enjoyable for users. It features a sandbox environment in which users are exposed to the end-to-end investment journey without risking financial losses.

Building on this foundation, we are now developing a groundbreaking decentralised protocol that will transform the AI landscape.

Website:

Benefits

• Competitive Salary
• An opportunity to be part of the Core team in a fast-growing company
• A fulfilling, challenging and flexible work experience
• Practically unlimited professional and career growth opportunities
• 
  

Job Title: AI/ML Engineer

Location: Delhi, Arjan Garh

Job Type: Full-Time

IMMEDIATE JOINERS REQUIRED

About Us:

Timble is a forward-thinking organization dedicated to leveraging cutting-edge technology to solve real-world problems. Our mission is to drive innovation and create impactful solutions through artificial intelligence and machine learning.

Key Responsibilities:

• Model Development: Design, develop, and deploy machine learning models and AI solutions to address complex business problems.
• Data Analysis: Work with large datasets to clean, preprocess, and analyze data, ensuring high data quality and relevance.
• Algorithm Optimization: Implement and refine algorithms to improve the performance and accuracy of AI models.
• Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into existing systems and workflows.
• Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques and methodologies to enhance our AI capabilities.
• Performance Monitoring: Monitor the performance of AI systems, troubleshoot issues, and make necessary adjustments to maintain optimal functionality.
• Documentation: Create and maintain comprehensive documentation for AI models, including design specifications, training processes, and deployment strategies.

Required Qualifications:

• Education: B.tech or M.tech or MCA or Bachelor’s or master's degree in Artificial intelligence, computer science or Data Analyst or related fields.
• Experience: 2 years’ Experience in AI/ML development, with a proven track record of deploying AI solutions in a production environment.
• IMMEDIATE JOINERS REQUIRED

Technical Skills:

• Must have proficiency in programming languages such as Python, Machine Learning, Deep Learning
• Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
• Strong knowledge of machine learning algorithms, neural networks, and natural language processing (NLP).
• Experience in integrating AI based solutions with web frameworks like Django, Flask.
• Problem-Solving: Excellent analytical and problem-solving skills, with the ability to work independently and as part of a team.
• Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Project Management: Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.

Preferred Qualifications:

• Experience with reinforcement learning, deep learning, or computer vision.
• Contributions to open-source AI projects or published research in AI/ML.
• Experience with big data technologies (e.g., Hadoop, Spark).

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional growth and career advancement.
• A collaborative and innovative work environment.
• Flexible working hours and remote work options.

How to Apply:

https://www.linkedin.com/in/preeti-bisht-1633b1263/

Mention current Notice, Current CTC and Expected CTC

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.

Salary: INR 15 to INR 30 lakhs per annum

Performance Bonus: Up to 10% of the base salary can be added

Location: Bangalore or Pune

Experience: 2-5 years

About AbleCredit:

AbleCredit is on a mission to solve the Credit Gap of emerging economies. In India alone, the Credit Gap is over USD 5T (Trillion!). This is the single largest contributor to poverty, poor genie index and lack of opportunities. Our Vision is to deploy AI reliably, and safely to solve some of the greatest problems of humanity.

Job Description:

This role is ideal for someone with a strong foundation in deep learning and hands-on experience with AI technologies.

• You will be tasked with solving complex, real-world problems using advanced machine learning models in a privacy-sensitive domain, where your contributions will have a direct impact on business-critical processes.
• As a Machine Learning Engineer at AbleCredit, you will collaborate closely with the founding team, who bring decades of industry expertise to the table.
• You’ll work on deploying cutting-edge Generative AI solutions at scale, ensuring they align with strict privacy requirements and optimize business outcomes.

This is an opportunity for experienced engineers to bring creative AI solutions to one of the most challenging and evolving sectors, while making a significant difference to the company’s growth and success.

Requirements:

• Experience: 2-4 years of hands-on experience in applying machine learning and deep learning techniques to solve complex business problems.
• Technical Skills: Proficiency in standard ML tools and languages, including:
• Python: Strong coding ability for building, training, and deploying machine learning models.
• PyTorch (or MLX or Jax): Solid experience in one or more deep learning frameworks for developing and fine-tuning models.
• Shell scripting: Familiarity with Unix/Linux shell scripting for automation and system-level tasks.
• Mathematical Foundation: Good understanding of the mathematical principles behind machine learning and deep learning (linear algebra, calculus, probability, optimization).
• Problem Solving: A passion for solving tough, ambiguous problems using AI, especially in data-sensitive, large-scale environments.
• Privacy & Security: Awareness and understanding of working in privacy-sensitive domains, adhering to best practices in data security and compliance.
• Collaboration: Ability to work closely with cross-functional teams, including engineers, product managers, and business stakeholders, and communicate technical ideas effectively.
• Work Experience: This position is for experienced candidates only.

Additional Information:

• Location: Pune or Bangalore
• Work Environment: Collaborative and entrepreneurial, with close interactions with the founders.
• Growth Opportunities: Exposure to large-scale AI systems, GenAI, and working in a data-driven privacy-sensitive domain.
• Compensation: Competitive salary and ESOPs, based on experience and performance
• Industry Impact: You’ll be at the forefront of applying Generative AI to solve high-impact problems in the finance/credit space, helping shape the future of AI in the business world.

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to support product development.
• Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to define data requirements and product taxonomy.
• Design and build scalable data pipelines and systems to support real-time data processing and analysis.
• Ensure the accuracy and quality of data used for modeling and analytics.
• Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
• Implement best practices for data governance, privacy, and security.
• Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
• Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
• Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
• Hands-on experience with data visualization tools and techniques.
• Strong understanding of statistics, data analysis, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Knowledge of microservices architecture and RESTful APIs.
• Familiarity with Agile development methodologies.
• Experience in building taxonomy for data products.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Job Description

 A job where you increase the depth of your expertise in computer vision.

 A job where you learn and implement the SOTA papers.

 A job where you write vectorized code that runs in seconds, not in minutes.

 A job where models learn to see and understand the world around them.

 A job where models run real-time because you optimize every byte.

 A job where you keep the career promises that you made to yourself.

 A job where you keep the learning promises that you made to yourself.

 If this scares you, don't read.

 If this excites you, we might love you.

Role

 We are looking for a passionate Machine Learning Engineer to join our team.

 The ideal candidate will be an enthusiastic developer with 2-5 years of experience in the field of Computer Vision and Artificial Intelligence.

 If building things and writing code excite you, this is the startup you belong.

Key Technologies

 Must be an expert in Python and Numpy.

 Experience with Tensorflow/Keras/Pytorch is required.

 Unsatiable hunger for writing beautiful code.

 Knowledge of python design-patterns.

 Some experience with C++ is preferred.

 Knowledge working closely with version control (GIT).

 Excellent communication skills and being able to work independently.

 Strong problem-solving and coding skills override everything else written above.

About AIMonk

 Run by IIT Kanpur alumni, AIMonk is a deep tech startup.

 We build beautiful and scalable software using computer vision and deep learning.

 We pride ourselves in solving problems nobody else can in the space

Requirements:

• Must have 5+ years of experience
• Strong proficiency in data engineering concepts and practices.
• Extensive experience in applying data science and machine learning techniques.
• Working knowledge of extracting information from unstructured data sources, particularly PDFs.
• Hands-on experience with Large Language Models (LLMs) such as GPT and Gemini.
• Knowledge of prompt engineering and fine-tuning techniques.
• Practical experience in building Retrieval-Augmented Generation (RAG) systems.
• Experience in processing large volumes of unstructured data, preferably in the insurance, legal, or healthcare sectors.
• Proven experience in extracting valuable insights from diverse data sets.
• Familiarity with Vector Databases, Azure Cloud, LangChain, Lama Index, and OCR tools and techniques.
• Working knowledge of PDF to text extraction tools like PDFMiner, PyMuPDF, or PDFPlumber, OCR tools.
• Skilled in machine learning, deep learning, computer vision, natural language processing (NLP), and generative AI models.

Good to have:

Working knowledge of Python and libraries such as NumPy, pandas, scikit-learn, and TensorFlow/PyTorch.

Preferred Qualifications:

BE/MS/PhD in Computer Science, Data Science, Machine Learning, or related fields.

Note: We are looking for passionate candidates who can join immediately.

Who are we looking for?  

We are looking for a Senior Data Scientist, who will design and develop data-driven solutions using state-of-the-art methods. You should be someone with strong and proven experience in working on data-driven solutions. If you feel you’re enthusiastic about transforming business requirements into insightful data-driven solutions, you are welcome to join our fast-growing team to unlock your best potential.  

Job Summary 

• Supporting company mission by understanding complex business problems through data-driven solutions. 
• Designing and developing machine learning pipelines in Python and deploying them in AWS/GCP, ... 
• Developing end-to-end ML production-ready solutions and visualizations. 
• Analyse large sets of time-series industrial data from various sources, such as production systems, sensors, and databases to draw actionable insights and present them via custom dashboards. 
• Communicating complex technical concepts and findings to non-technical stakeholders of the projects 
• Implementing the prototypes using suitable statistical tools and artificial intelligence algorithms. 
• Preparing high-quality research papers and participating in conferences to present and report experimental results and research findings. 
• Carrying out research collaborating with internal and external teams and facilitating review of ML systems for innovative ideas to prototype new models. 

Qualification and experience 

• B.Tech/Masters/Ph.D. in computer science, electrical engineering, mathematics, data science, and related fields. 
• 5+ years of professional experience in the field of machine learning, and data science. 
• Experience with large-scale Time-series data-based production code development is a plus. 

Skills and competencies 

• Familiarity with Docker, and ML Libraries like PyTorch, sklearn, pandas, SQL, and Git is a must. 
• Ability to work on multiple projects. Must have strong design and implementation skills. 
• Ability to conduct research based on complex business problems. 
• Strong presentation skills and the ability to collaborate in a multi-disciplinary team. 
• Must have programming experience in Python. 
• Excellent English communication skills, both written and verbal. 

Benefits and Perks

• Culture of innovation, creativity, learning, and even failure, we believe in bringing out the best in you. 
• Progressive leave policy for effective work-life balance. 
• Get mentored by highly qualified internal resource groups and opportunity to avail industry-driven mentorship program, as we believe in empowering people.  
• Multicultural peer groups and supportive workplace policies.  
• Work from beaches, hills, mountains, and many more with the yearly workcation program; we believe in mixing elements of vacation and work. 

 Hiring Process 

• Call with Talent Acquisition Team: After application screening, a first-level screening with the talent acquisition team to understand the candidate's goals and alignment with the job requirements. 
• First Round: Technical round 1 to gauge your domain knowledge and functional expertise. 
• Second Round: In-depth technical round and discussion about the departmental goals, your role, and expectations.
• Final HR Round: Culture fit round and compensation discussions.
• Offer: Congratulations you made it!  

If this position sparked your interest, apply now to initiate the screening process.

Responsibilities

• Work on execution and scheduling of all tasks related to assigned projects' deliverable dates
• Optimize and debug existing codes to make them scalable and improve performance
• Design, development, and delivery of tested code and machine learning models into production environments
• Work effectively in teams, managing and leading teams
• Provide effective, constructive feedback to the delivery leader
• Manage client expectations and work with an agile mindset with machine learning and AI technology
• Design and prototype data-driven solutions

Eligibility

• Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications
• Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)
• In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)
• Expertise in writing scalable APIs for machine learning models
• Experience with maintaining code logs, task schedulers, and security
• Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning
• Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch

The Role:

As an ML Engineer at TIFIN, you will be responsible for driving research and innovation in a result-oriented direction. Your role will involve staying updated on the latest research trends and exploring advancements in Natural Language Understanding (NLU) and their applications in conversational AI. You will also play a mentoring role and contribute to improving NLU capabilities using transfer learning from historical conversational data.

Requirements:

• Experience with training and fine-tuning machine learning models on large text datasets.
• Strong computer science fundamentals and at least 3 years of software development experience.
• Track record of thinking big and finding simple solutions while dealing with ambiguity.
• Proven experience as a Natural Language Processing Engineer or in similar roles.
• Good understanding of NLP tricks and techniques for semantic extraction, data structure, and modeling.
• Familiarity with text representation techniques, algorithms, and statistics.
• Knowledge of programming languages such as R, Python, and Java.
• Proficiency in Machine Learning frameworks like TensorFlow, PyTorch, etc.
• Ability to design software architectures and solve complex problems.
• Strong analytical and problem-solving skills.
• Experience in projects related to information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing, or machine translation is a plus.
• Publications, patents, or conference talks in relevant fields are a bonus.

You will be part of the core engineering team that is working on developing AI/ML models, Algorithms, and Frameworks in the areas of Video Analytics, Business Intelligence, IoT Predictive Analytics. 

For more information visit www.gyrus.ai 

Candidate must have the following qualifications 

- Engineering or Masters degree in CS, EC, EE or related domains

- Proficient in OpenCV

- Profficiency in Python programming 

- Exposure to one of the AI platforms like Tensorflow, Caffe, PyTorch

- Must have trained and deployed at least one fairly big AI model

- Exposure to AI models for Audio/Image/Video Analytics

- Exposure to one of the Cloud Computing platforms AWS/GCP

- Strong mathematical background with special emphasis towards Linear Algebra and Statistics

We are seeking a highly skilled and innovative 3+ years of experienced Generative AI Engineer to join our dynamic team. As a Generative AI Engineer, you will play a key role in developing cutting-edge algorithms and models to create generative solutions that push the boundaries of artificial intelligence.

Key Responsibilities

1. Design, develop, and implement cutting-edge computer vision algorithms, encompassing areas such as image processing, object detection, and segmentation.
2. Leverage Generative Adversarial Network (GAN) models to synthesize novel data and enhance the quality of existing datasets.
3. Engage in collaborative efforts with cross-functional teams to seamlessly integrate AI-driven solutions into our product portfolio.
4. Spearhead initiatives to refine and optimize model architectures, ensuring top-tier performance and efficiency.
5. Stay at the forefront of AI and computer vision advancements, ensuring our solutions are consistently state-of-the-art.
6. Provide mentorship to budding data scientists, promoting a cohesive, inclusive, and knowledge-sharing team culture.

Qualifications:

1. A minimum of 3 years of specialized experience in computer vision, with a focus on deep learning. Proficiency in neural architectures such as CNNs, RNNs, Encoder-Decoders, and generative models including GANs and GPT is essential.
2. Demonstrated expertise in crafting, fine-tuning, and deploying AI models for real-world applications.
3. Mastery in programming languages, notably Python, and familiarity with deep learning frameworks such as TensorFlow and PyTorch. Experience with image processing libraries like OpenCV and Pillow is a plus.
4. Exceptional analytical and problem-solving prowess, complemented by meticulous attention to detail.
5. Stellar communication and presentation abilities, with a knack for distilling intricate technical data into clear, actionable business insights.

Preferred Skills:

1. Hands-on experience with cloud platforms, especially AWS, and adeptness with container orchestration tools like Docker and Kubernetes.
2. Proficiency in version control utilities, particularly Git and GitHub.
3. Prior contributions to the AI research community, such as publications or significant community involvement, will be highly regarded.
4. Acquaintance with agile development practices.
5. A compelling portfolio showcasing a range of projects in computer vision and image segmentation is desirable