50+ TensorFlow Jobs in India

Job Description: AI/ML Engineer

Overview

We are looking for a highly skilled and experienced AI/ML Engineer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential.

Key Responsibilities

● Develop and maintain web applications using Django and Flask frameworks.

● Design and implement RESTful APIs using Django Rest Framework (DRF).

● Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation.

● Build and integrate APIs for AI/ML models into existing systems.

● Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn.

● Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases.

● Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization.

● Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker.

● Ensure the scalability, performance, and reliability of applications and deployed models.

● Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions.

● Write clean, maintainable, and efficient code following best practices.

● Conduct code reviews and provide constructive feedback to peers.

● Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML.

Required Skills and Qualifications

● Bachelor’s degree in Computer Science, Engineering, or a related field.

● 3+ years of professional experience as a Python Developer.

● Proficient in Python with a strong understanding of its ecosystem.

● Extensive experience with Django and Flask frameworks.

● Hands-on experience with AWS services for application deployment and management.

● Strong knowledge of Django Rest Framework (DRF) for building APIs.

● Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.

● Experience with transformer architectures for NLP and advanced AI solutions.

● Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).

● Familiarity with MLOps practices for managing the machine learning lifecycle.

● Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus.

● Excellent problem-solving skills and the ability to work independently and as part of a team.

● Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

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.

• Minimum of (2+) years of experience in AI-based application development.
• Fine-tune pre-existing models to improve performance and accuracy.
• Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI
• Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT).
• Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications.
• Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)).
• Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others.
• Strong understanding and experience with open-source multimodal LLM models to customize and create solutions.
• Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning.
• Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib.
• Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
• Proficiency in Python with the ability to get hands-on with coding at a deep level.
• Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems.
• Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra)
• Enthusiasm for continuous learning and professional developement in AI and leated technologies.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Knowledge of cloud services like AWS, Google Cloud, or Azure.
• Proficiency with version control systems, especially Git.
• Familiarity with data pre-processing techniques and pipeline development for Al model training.
• Experience with deploying models using Docker, Kubernetes
• Experience with AWS Bedrock, and Sagemaker is a plus
• Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Loyalty Juggernaut Inc. (LJI) is a Silicon Valley-based product company, founded by industry veterans with decades of expertise in CRM, Loyalty, and Mobile AdTech. With a global footprint spanning the USA, Europe, UAE, India, and Latin America, we are trusted partners for customer centric enterprises across diverse industries including Airlines, Airport, Retail, Hospitality, Banking, F&B, Telecom, Insurance and Ecosystem.

As pioneers in next-generation loyalty and customer engagement solutions, we are not just transforming loyalty—we are redefining it. With a passion for innovation and a commitment to excellence, LJI is reshaping the loyalty landscape, enabling enterprises to create meaningful, long-lasting relationships with their customers. We are THE JUGGERNAUTS, driving innovation and impact in the loyalty ecosystem.

At the core of our innovation is GRAVTY®, a revolutionary Digital Transformation SaaS Product that empowers multinational enterprises to build deeper customer connections. Designed for scalability and personalization, GRAVTY® delivers cutting-edge loyalty solutions that transform customer engagement across diverse markets.

Our Impact:

• 400+ million members connected through our platform.
• Trusted by 100+ global brands/partners, driving loyalty and brand devotion worldwide.

Proud to be a Three-Time Champion for Best Technology Innovation in Loyalty!!

Explore more about us at www.lji.io.

We are seeking a highly skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will have a proven track record of developing and deploying machine learning models in production that drive significant business impact. With a passion for data science and a competitive edge demonstrated through Kaggle rankings, you will play a crucial role in advancing our Machine Learning initiatives.

What you will OWN:

• Design, develop, and deploy machine learning models to enhance customer loyalty and engagement.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Conduct data exploration and feature engineering to improve model performance.
• Stay abreast of the latest machine learning techniques and technologies, applying them to solve challenging problems.
• Evaluate and monitor model performance, making iterative improvements to achieve business objectives.

You would make a GREAT FIT if you have :

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Minimum of 5 years of experience in building and deploying machine learning models.
• Strong proficiency in programming languages such as Python or R.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas).
• Knowledge on cloud computing services (e.g., AWS, Google Cloud, Azure) and their machine learning offerings.
• Proven track record on Kaggle(or similar) with a high ranking, demonstrating expertise in data science competitions.
• Experience with deep learning/Neural networks (nice to have).
• Ability to work in a fast-paced, agile development environment.
• Passion for innovation and a desire to stay at the cutting edge of machine learning and data science.
• Experience with building and deploying ML models in production.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.
• Knowledge of reinforcement learning and recommendation systems – Nice to have.

Why should you consider us?

• Opportunity to Innovate with and Learn from a World-class technology team
• Dabble into the future of technology - Enterprise Cloud Computing, Blockchain, Machine Learning and AI, Mobile, Digital Wallets, and much more...
• Grow with a fast growing company with global presence and recognition.

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.

What We’re Looking For

Proven experience as a Machine Learning Engineer, Data Scientist, or similar role

Expertise in applying machine learning algorithms, deep learning, and data mining techniques in an enterprise environment

Strong proficiency in Python (or other languages) and familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, or similar.

Experience working with natural language processing (NLP) or computer vision is highly desirable.

Understanding and experience with (MLOps), including model development, deployment, monitoring, and maintenance.

Experience with cloud platforms (like AWS, Google Cloud, or Azure) and knowledge of deploying machine learning models at scale.

Familiarity with data architecture, data engineering, and data pipeline tools.

Familiarity with containerization technologies such as Docker, and orchestration systems like Kubernetes.

Knowledge of the insurance sector is beneficial but not required.

Bachelor's/Master's degree in Computer Science, Data Science, Mathematics, or a related field.

What You’ll Be Doing

Algorithm Development:

Design and implement advanced machine learning algorithms tailored for our datasets.

Model Creation:

Build, train, and refine machine learning models for business integration.

Collaboration:

Partner with product managers, developers, and data scientists to align machine learning solutions with business goals.

Industry Innovation:

Stay updated with Insurtech trends and ensure our solutions remain at the forefront.

Validation:

Test algorithms for accuracy and efficiency, collaborating with the QA team.

Documentation:

Maintain clear records of algorithms and models for team reference.

Professional Growth:

Engage in continuous learning and mentor junior team members.

Role Overview:

Generative AI Engineer specializes in designing, developing, and managing AI systems capable of autonomously generating content such as text, images, and music. These engineers leverage deep learning and machine learning techniques to train AI models on large datasets, enabling the creation of new, original content that mimics human-like creativity.

Key Responsibilities:

1. Design and Develop AI Models: Create and optimize generative models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)
2. Natural Language Processing (NLP): Work extensively with NLP to create and refine models that understand and generate human language
3. Data Management: Manage and integrate large datasets to train generative AI models, including data pre-processing and augmentation
4. Prototype New Applications: Lead the ideation and prototyping of new AI applications and systems.
5. System Architecture: Design and implement the architecture for AI systems to ensure scalability and efficiency. Key Skills:
6. Programming: Advanced knowledge of programming languages such as Python, and proficiency with AI-centric libraries like TensorFlow, PyTorch, and Keras.
7. Generative Models: Expertise in developing and optimizing GANs, VAEs, and other generative models.
8. NLP Techniques: Familiarity with text parsing, sentiment analysis, and transformer models like GPT.
9. Data Handling: Strong skills in data pre-processing, augmentation, and synthetic data generation.
10. Problem-Solving: Ability to tackle complex, creative challenges using AI.

Preferred Qualifications:

• Education: Bachelor’s or master’s degree in computer science, AI, Machine Learning, or a related field.
• Experience: Proven experience in developing and deploying generative AI models.
• Soft Skills: Creativity, strong analytical skills, and the ability to work collaboratively in a team environment. 

Job Description: Machine Learning Engineer – LLM and Agentic AI

Location: Ahmedabad

Experience: 4+ years

Employment Type: Full-Time

________________________________________

About Us

Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, machine learning, and pushing the boundaries of Agentic AI, we’d love to have you on board.

________________________________________

Key Responsibilities

• Research and Development: Research, design, and fine-tune machine learning models, with a focus on Large Language Models (LLMs) and Agentic AI systems.

• Model Optimization: Fine-tune and optimize pre-trained LLMs for domain-specific use cases, ensuring scalability and performance.

• Integration: Collaborate with software engineers and product teams to integrate AI models into customer-facing applications and platforms.

• Data Engineering: Perform data preprocessing, pipeline creation, feature engineering, and exploratory data analysis (EDA) to prepare datasets for training and evaluation.

• Production Deployment: Design and implement robust model deployment pipelines, including monitoring and managing model performance in production.

• Experimentation: Prototype innovative solutions leveraging cutting-edge techniques like reinforcement learning, few-shot learning, and generative AI.

• Technical Mentorship: Mentor junior team members on best practices in machine learning and software engineering.

________________________________________

Requirements

Core Technical Skills:

• Proficiency in Python for machine learning and data science tasks.

• Expertise in ML frameworks and libraries like PyTorch, TensorFlow, Hugging Face, Scikit-learn, or similar.

• Solid understanding of Large Language Models (LLMs) such as GPT, T5, BERT, or Bloom, including fine-tuning techniques.

• Experience working on NLP tasks such as text classification, entity recognition, summarization, or question answering.

• Knowledge of deep learning architectures, such as transformers, RNNs, and CNNs.

• Strong skills in data manipulation using tools like Pandas, NumPy, and SQL.

• Familiarity with cloud services like AWS, GCP, or Azure, and experience deploying ML models using tools like Docker, Kubernetes, or serverless functions.

Additional Skills (Good to Have):

• Exposure to Agentic AI (e.g., autonomous agents, decision-making systems) and practical implementation.

• Understanding of MLOps tools (e.g., MLflow, Kubeflow) to streamline workflows and ensure production reliability.

• Experience with generative AI models (GANs, VAEs) and reinforcement learning techniques.

• Hands-on experience in prompt engineering and few-shot/fine-tuned approaches for LLMs.

• Familiarity with vector databases like Pinecone, Weaviate, or FAISS for efficient model retrieval.

• Version control (Git) and familiarity with collaborative development practices.

General Skills:

• Strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability.

• Solid understanding of algorithms and data structures to solve complex ML problems.

• Ability to handle and process large datasets using distributed frameworks like Apache Spark or Dask (optional but useful).

________________________________________

Soft Skills:

• Excellent problem-solving and critical-thinking abilities.

• Strong communication and collaboration skills to work with cross-functional teams.

• Self-motivated, with a continuous learning mindset to keep up with emerging technologies.

Role: Lead AI Engineer

Exp: 3-6 Years

CTC: 35.00-40.00 LPA

Work Mode :WFH

Mandatory Criteria (Can't be neglected during screening) :

• Need Excellent Communication skills as the company is dealing with US Clients also

• 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.

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

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

• Proficiency with cloud platforms (AWS, Azure, GCP)

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.

Job Description: Machine Learning Engineer – LLM and Agentic AI

Location: Ahmedabad

Experience: 4+ years

Employment Type: Full-Time

________________________________________

About Us

Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, machine learning, and pushing the boundaries of Agentic AI, we’d love to have you on board.

________________________________________

Key Responsibilities

• Research and Development: Research, design, and fine-tune machine learning models, with a focus on Large Language Models (LLMs) and Agentic AI systems.

• Model Optimization: Fine-tune and optimize pre-trained LLMs for domain-specific use cases, ensuring scalability and performance.

• Integration: Collaborate with software engineers and product teams to integrate AI models into customer-facing applications and platforms.

• Data Engineering: Perform data preprocessing, pipeline creation, feature engineering, and exploratory data analysis (EDA) to prepare datasets for training and evaluation.

• Production Deployment: Design and implement robust model deployment pipelines, including monitoring and managing model performance in production.

• Experimentation: Prototype innovative solutions leveraging cutting-edge techniques like reinforcement learning, few-shot learning, and generative AI.

• Technical Mentorship: Mentor junior team members on best practices in machine learning and software engineering.

________________________________________

Requirements

Core Technical Skills:

• Proficiency in Python for machine learning and data science tasks.

• Expertise in ML frameworks and libraries like PyTorch, TensorFlow, Hugging Face, Scikit-learn, or similar.

• Solid understanding of Large Language Models (LLMs) such as GPT, T5, BERT, or Bloom, including fine-tuning techniques.

• Experience working on NLP tasks such as text classification, entity recognition, summarization, or question answering.

• Knowledge of deep learning architectures, such as transformers, RNNs, and CNNs.

• Strong skills in data manipulation using tools like Pandas, NumPy, and SQL.

• Familiarity with cloud services like AWS, GCP, or Azure, and experience deploying ML models using tools like Docker, Kubernetes, or serverless functions.

Additional Skills (Good to Have):

• Exposure to Agentic AI (e.g., autonomous agents, decision-making systems) and practical implementation.

• Understanding of MLOps tools (e.g., MLflow, Kubeflow) to streamline workflows and ensure production reliability.

• Experience with generative AI models (GANs, VAEs) and reinforcement learning techniques.

• Hands-on experience in prompt engineering and few-shot/fine-tuned approaches for LLMs.

• Familiarity with vector databases like Pinecone, Weaviate, or FAISS for efficient model retrieval.

• Version control (Git) and familiarity with collaborative development practices.

General Skills:

• Strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability.

• Solid understanding of algorithms and data structures to solve complex ML problems.

• Ability to handle and process large datasets using distributed frameworks like Apache Spark or Dask (optional but useful).

________________________________________

Soft Skills:

• Excellent problem-solving and critical-thinking abilities.

• Strong communication and collaboration skills to work with cross-functional teams.

• Self-motivated, with a continuous learning mindset to keep up with emerging technologies.

Job Title: AI/ML Engineer (GenAI & System Modernization)

Experience: 4 to 8 years

Work Mode: Hybrid

Location: Bangalore

Job Overview:

We are seeking AI engineers passionate about Generative AI and AI-assisted modernization to build cutting-edge solutions. The candidate will work on in-house GenAI applications, support AI adoption across the organization, collaborate with vendors for POCs, and contribute to legacy system modernization using AI-driven automation.

Key Responsibilities:

• Design & develop in-house GenAI applications for internal use cases.
• Collaborate with vendors to evaluate and implement POCs for complex AI solutions.
• Work on AI-powered tools for SDLC modernization and code migration (legacy to modern tech).
• Provide technical support, training, and AI adoption strategies for internal users & teams.
• Assist in integrating AI solutions into software development processes.

Must Have:

• Bachelor’s / Master’s degree in Computer Science / Computer Engineering / Computer Applications / Information Technology OR AI/ML-related field.
• Relevant certification in AI/ML is an added advantage.
• Minimum of 2 successful AI/ML POCs or production deployments.
• Prior experience in AI-powered automation, AI-based DevOps, or AI-assisted coding.
• Proven track record of teamwork and successful project delivery.
• Strong analytical and problem-solving skills with a continuous learning mindset.
• A positive, can-do attitude with attention to detail.

AI/ML Expertise:

• Strong hands-on Python programming experience.
• Experience with Generative AI models and LLMs/SLMs (worked on real projects or POCs).
• Hands-on experience in Machine Learning & Deep Learning.
• Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Understanding of MLOps pipelines and AI model deployment.

System Modernization & Enterprise Tech Familiarity:

• Basic understanding of Java, Spring, React, Kotlin, and Groovy.
• Experience and willingness to work on AI-driven migration projects (e.g., PL/SQL to Emery, JS to Groovy DSL).
• Experience with code quality, AI-assisted code refactoring, and testing frameworks.

Enterprise Integration & AI Adoption:

• Ability to integrate AI solutions into enterprise workflows.
• Experience with API development & AI model integration in applications.
• Familiarity with version control & collaboration tools (Git, CI/CD pipelines).

Job Description :

This is an exciting opportunity for an experienced industry professional with strong expertise in artificial intelligence and machine learning to join and add value to a dedicated and friendly team. We are looking for an AIML Engineer who is passionate about developing AI-driven technology solutions. As a core member of the Development Team, the candidate will take ownership of AI/ML projects by working independently with little supervision.

The ideal candidate is a highly resourceful and skilled professional with experience in applying AI to practical and comprehensive technology solutions. You must also possess expertise in machine learning, deep learning, TensorFlow, Python, and NLP, along with a strong understanding of algorithms, functional design principles, and best practices.

You will be responsible for leading AI/ML initiatives, ensuring scalable and optimized solutions, and integrating AI capabilities into applications. Additionally, you will work on REST API development, NoSQL database design, and RDBMS optimizations.

Key Responsibilities :

- Develop and implement AI/ML models to solve real-world problems.

- Utilize machine learning, deep learning, TensorFlow, and NLP techniques.

- Lead AI-driven projects with program leadership, governance, and change enablement.

- Apply best practices in algorithm development, object-oriented and functional design principles.

- Design and optimize NoSQL and RDBMS databases for AI applications.

- Develop and integrate AI-powered REST APIs for seamless application functionality.

- Collaborate with cross-functional teams to deliver AI-driven solutions.

- Stay updated with the latest advancements in AI and ML technologies.

Required Qualifications :

- Qualification: Bachelor's or Master's degree in Computer Science or a related field.

- Minimum 2 years of experience in AI/ML application development.

- Strong expertise in machine learning, deep learning, TensorFlow, Python, and NLP.

- Experience in program leadership, governance, and change enablement.

- Knowledge of basic algorithms, object-oriented and functional design principles.

- Experience in REST API development, NoSQL database design, and RDBMS optimization.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills.

Location: Patna, Bihar

Why make a career at Plus91:

At Plus91, we believe we make a better world together. We value the diversity, creativity, and experience of our people. And it's your ideas that help us improve our products and customer experiences and create value for the world of healthcare.

We help our people become better professionals, as well as human beings. We are a hands-on company, and our team is all about getting things done. We nurture experiential learning. Bring passion and dedication to your job, and there's no telling what you can accomplish at Plus91.

We are always on the lookout for bright and innovative people to help us reach our business goals and your personal goals. If this role with us fits your career goals and you think you can fit into our hands-on and go-getting culture, do apply.

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

Key Responsibilities:

Design, develop, and optimize scalable data pipelines and ETL processes.

Work with large datasets using GCP services like BigQuery, Dataflow, and Cloud Storage.

Implement real-time data streaming and processing solutions using Pub/Sub and Dataproc.

Collaborate with cross-functional teams to ensure data quality and governance.

Technical Requirements:

4+ years of experience in Data Engineering.

Strong expertise in GCP services like Workflow,tensorflow, Dataproc, and Cloud Storage.

Proficiency in SQL and programming languages such as Python or Java

.Experience in designing and implementing data pipelines

and working with real-time data processing.

Familiarity with CI/CD pipelines and cloud security best practices.

Position Overview:

 As a Generative AI Engineer, you will be responsible for designing, implementing, and optimizing generative AI models and algorithms.You will primarily work in building new b2c applications and integrating AI features into existing apps. You will work closely with cross-functional teams to integrate AI capabilities into our products. The ideal candidate will have a strong entrepreneurial mindset, who owns the entire AI implementation and is well versed in latest developments in GenAI and LLM space.

Key Responsibilities:

• Data Preprocessing & Augmentation: Work with large-scale datasets, preprocess data, and implement data augmentation techniques to improve the quality and diversity of training data.
• Algorithm Optimization: Optimize model performance, including reducing training time, improving accuracy, and enhancing the overall efficiency of generative AI systems and LLMs.
• Research & Innovation: Stay up-to-date with the latest research and trends in generative AI and propose innovative solutions for new challenges and applications.
• Collaboration: Work closely with product, engineering, and data science teams to understand use cases, define requirements, and integrate generative AI models into applications and products.
• Model Evaluation & Fine-tuning: Evaluate models using appropriate metrics and perform model fine-tuning to ensure high-quality outputs.
• AI Infrastructure & Deployment: Work with cloud-based environments and AI frameworks to deploy models and optimize their scalability and reliability.
• Documentation & Reporting: Document models, code, and processes clearly to ensure that solutions are reproducible and maintainable. Communicate findings and results to both technical and non-technical stakeholders.
• Setup and deploy new AI based processes in organization with the goal of improving efficiency in every department.

Required Qualifications:

• 3+ years of experience in machine learning or AI development, with a focus on generative models.
• Strong proficiency in programming languages such as Python, and experience with AI/ML libraries like TensorFlow, PyTorch.
• Working knowledge of javascript and other web concepts is a plus.
• Analyse and preprocess diverse datasets to extract meaningful information for AI applications
• Streamline the development and deployment of Generative AI models using cloud infrastructure and tools such as cognitive search, VectorDB, and frameworks like LangChain, LlamaIndex, HuggingFace, openAI APIs etc.
• Up to date with latest advancements in Gen AI and LLMs along with the knowledge in best models such GPT-x, Llama, claude, gemini and leaderboards for the same.
• Well versed with LLM concepts such as vector embeddings, RAGs, prompt engineering, transformers, fine tuning models, Semantic search, training large models etc.
• Solid understanding of deep learning fundamentals, including backpropagation, gradient descent, and neural network architectures.
• Experience in developing end to end AI applications from training to deployment. Previous experience in working with AI applications is a big plus.
• Strong research interest delving deep into depths of AI, LLM tech with passion.
• Experience working with AI coding tools such as bolt.new, claude, Github Copilot, Cursor.ai etc.
• Experience with large-scale data processing and working with cloud platforms (AWS, Google Cloud, Azure).
• Strong analytical and problem-solving skills with the ability to experiment and iterate quickly.
• Familiarity with model evaluation techniques and performance metrics specific to generative models.
• Good understanding of NLP and/or computer vision, depending on the focus area of the generative models.
• Strong communication skills and the ability to collaborate in a cross-functional team environment.

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.

We are looking for someone who can adapt evolving strategic priorities across various growth phases. The responsibilities will evolve with time but will broadly include:

● Strategy & Vision: Understand the company’s business and research goals and plan

for AI exploration and implementation accordingly

● Research & Innovation:

○ Review state-of-the-art research and experiment with new models,

algorithms, architectures - around agentic AI, recommendation /

personalisation models and agent based marketing modeling / simulation

○ Stay updated with the latest advancements in the field of AI

● Solution development:

○ Lead development of practical, scalable and reliable AI solutions for our

customers

○ Lead model development, training and fine-tuning of both Gen AI a

traditional AI models

● Data strategy & management: Formulate and execute strategy to source, ingest

and process critical data to feed our research projects and AI/ML solutions

● Team Building: Participate in building out the rest of our research and engineering

team

● Experience -

○ 2+ years of experience in machine learning, deep learning or applied

research (academic or industry)

○ Experience with recommendation models (such as DeepFM, DLRM and

others), personalisation or reinforcement learning models

○ Understanding of common AI/ML libraries and frameworks such as PyTorch,

TensorFlow, Numpy, Scikit Learn etc.

○ Programming knowledge in languages such Python or Scala

○ Experience with image/video models would be an added advantage

○ Experience with any marketing specific modeling techniques also a pl

● Mindset -

○ Resourceful, willing to experiment and work in an ambiguous, early stage,

fast-changing environment

○ Excited to innovate and solve challenging problems from first principal

○ Masters degree program in Computer Science, ECE or associated programs -

Data Science, Statistics, AI/ML etc. PhD is a plus, but not mandatory

○ Strong foundation in Mathematics & Statistics

○ Publications in AI/ML or related field

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.

Location: Hyderabad, Hybrid

We seek an experienced Lead Data Scientist to support our growing team of talented engineers in the Insurtech space. As a proven leader, you will guide, mentor, and drive the team to build, deploy, and scale machine learning models that deliver impactful business solutions. This role is crucial for ensuring the team provides real-world, scalable results. In this position, you will play a key role, not only by developing models but also by leading cross-functional teams, structuring and understanding data, and providing actionable insights to the business.

What We’re Looking For

● Proven experience as a Lead Machine Learning Engineer, Data Scientist, or a similar role, with extensive leadership experience managing and mentoring engineering teams.

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

● Demonstrated success in leading teams that have designed, deployed, and scaled machine learning models in production environments, delivering tangible business results.

● Expertise in machine learning algorithms, deep learning, and data mining techniques, ideally in an enterprise setting.

● Hands-on experience with natural language processing (NLP) and data extraction tools.

● Proficiency in Python (or other programming languages), and with libraries such as Scikit-learn, TensorFlow, PyTorch, etc.

● Strong experience with MLOps processes, including model development, deployment, and monitoring at scale.

● Strong leadership and analytical skills, capable of structuring and interpreting data to provide meaningful business insights and guide decisions.

● A practical understanding of aligning machine learning initiatives with business objectives.

● Industry experience in insurance is a plus but not required.

What You’ll Be Doing

● Lead and mentor a team of strong Machine Learning Engineers, synthesizing their skills and ideas into scalable, impactful solutions.

● Have a proven track record in successfully leading teams in the development, deployment, and scaling of machine learning models to solve real-world business problems.

● Provide leadership in structuring, analyzing, and interpreting data, delivering insights to the business side to support informed decision-making.

● Oversee the full lifecycle of machine learning models – from development and training to deployment and monitoring in production environments.

● Collaborate closely with cross-functional teams to align AI efforts with business goals

and ensure measurable impacts.

● Leverage deep expertise in machine learning, data science, or related fields to enhance document interpretation tasks such as text extraction, classification, and semantic analysis.

● Utilize natural language processing (NLP) to improve our AI-based Intelligent Document Processing platform.

● Implement MLOps best practices, ensuring smooth deployment, monitoring, and maintenance of models in production.

● Continuously explore and experiment with new technologies and techniques to push the boundaries of AI solutions within the organization.

● Lead by example, fostering a culture of innovation and collaboration within the team while effectively communicating technical insights to both technical and non-technical stakeholders.

Candidates not located in Hyderabad will not be taken into consideration.

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

Job Title: Solution Architect

Work Location: Tokyo

Experience: 7-10 years

Number of Positions: 3

Job Description:

We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.

Responsibilities:

• Collaborate with stakeholders to understand business needs and translate them into scalable and efficient technical solutions.
• Design and implement complex systems involving Machine Learning, Cloud Computing (at least two major clouds such as AWS, Azure, or Google Cloud), and Full Stack Development.
• Lead the design, development, and deployment of cloud-native applications with a focus on NoSQL databases, Python, and Kubernetes.
• Implement algorithms and provide scalable solutions, with a focus on performance optimization and system reliability.
• Review, validate, and improve architectures to ensure high scalability, flexibility, and cost-efficiency in cloud environments.
• Guide and mentor development teams, ensuring best practices are followed in coding, testing, and deployment.
• Contribute to the development of technical documentation and roadmaps.
• Stay up-to-date with emerging technologies and propose enhancements to the solution design process.

Key Skills & Requirements:

• Proven experience (7-10 years) as a Solution Architect or similar role, with deep expertise in Machine Learning, Cloud Architecture, and Full Stack Development.
• Expertise in at least two major cloud platforms (AWS, Azure, Google Cloud).
• Solid experience with Kubernetes for container orchestration and deployment.
• Strong hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, etc.).
• Proficiency in Python, including experience with ML frameworks (such as TensorFlow, PyTorch, etc.) and libraries for algorithm development.
• Must have implemented at least two algorithms (e.g., classification, clustering, recommendation systems, etc.) in real-world applications.
• Strong experience in designing scalable architectures and applications from the ground up.
• Experience with DevOps and automation tools for CI/CD pipelines.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication skills and ability to collaborate with cross-functional teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Preferred Skills:

• Experience with microservices architecture and containerization.
• Knowledge of distributed systems and high-performance computing.
• Certifications in cloud platforms (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.).
• Familiarity with Agile methodologies and Scrum.
• Knowing Japanese Language is an additional advantage for the Candidate. Not mandatory.

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.

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.

 Job Description: AI/ML Engineer

Location: Bangalore (On-site)  

Experience: 2+ years of relevant experience

About the Role:

We are seeking a skilled and passionate AI/ML Engineer to join our team in Bangalore. The ideal candidate will have over two years of experience in developing, deploying, and maintaining AI and machine learning models. As an AI/ML Engineer, you will work closely with our data science team to build innovative solutions and deploy them in a production environmen

 Key Responsibilities:

- Develop, implement, and optimize machine learning models.

- Perform data manipulation, exploration, and analysis to derive actionable insights.

- Use advanced computer vision techniques, including YOLO and other state-of-the-art methods, for image processing and analysis.

- Collaborate with software developers and data scientists to integrate AI/ML solutions into the company's applications and products.

- Design, test, and deploy scalable machine learning solutions using TensorFlow, OpenCV, and other related technologies.

- Ensure the efficient storage and retrieval of data using SQL and data manipulation libraries such as pandas and NumPy.

- Contribute to the development of backend services using Flask or Django for deploying AI models.

- Manage code using Git and containerize applications using Docker when necessary.

- Stay updated with the latest advancements in AI/ML and integrate them into existing projects.

Required Skills:

- Proficiency in Python and its associated libraries (NumPy, pandas).

- Hands-on experience with TensorFlow for building and training machine learning models.

- Strong knowledge of linear algebra and data augmentation techniques.

- Experience with computer vision libraries like OpenCV and frameworks like YOLO.

- Proficiency in SQL for database management and data extraction.

- Experience with Flask for backend development.

- Familiarity with version control using Git.

 Optional Skills:

- Experience with PyTorch, Scikit-learn, and Docker.

- Familiarity with Django for web development.

- Knowledge of GPU programming using CuPy and CUDA.

- Understanding of parallel processing techniques.

Qualifications:

- Bachelor's degree in Computer Science, Engineering, or a related field.

- Demonstrated experience in AI/ML, with a portfolio of past projects.

- Strong analytical and problem-solving skills.

- Excellent communication and teamwork skills.

 Why Join Us?

- Opportunity to work on cutting-edge AI/ML projects.

- Collaborative and dynamic work environment.

- Competitive salary and benefits.

- Professional growth and development opportunities.

If you're excited about using AI/ML to solve real-world problems and have a strong technical background, we'd love to hear from you!

Apply now to join our growing team and make a significant impact!

We are seeking a dynamic and experienced Senior Pre-Sales Business Analyst to join our team. The incumbent will play a pivotal role in engaging with potential clients and channel partners, providing strategic insights, and crafting tailored solutions to address client needs. This role demands a blend of technical expertise, business acumen, and exceptional communication skills to effectively articulate our value proposition and drive revenue growth.

Responsibilities

· Engage with clients to understand their business objectives, challenges, and requirements related to computer vision applications.

· Conduct detailed analysis and document business requirements, ensuring clarity, completeness, and feasibility.

· Collaborate with the solutioning and development teams to propose innovative and technically viable solutions that meet clients' requirements.

· Act as a liaison between clients and internal teams, effectively communicating and translating business requirements to technical teams.

· Utilize the low-code platform and AI models to design innovative solutions that address client needs.

· Analyze client data and business processes to identify opportunities for optimization and efficiency gains.

· Develop comprehensive proposals and presentations outlining customized solutions tailored to each client's requirements.

· Collaborate with the sales team to develop compelling proposals, presentations, and demonstrations to showcase the value and capabilities of our computer vision products.

· Participate in pre-sales activities, including client meetings, presentations, and workshops, to support business development efforts.

· Conduct market research to identify potential clients, industry trends, and competitive landscape.

· Analyze market data and client feedback to refine product offerings and develop new solutions.

· Stay updated with industry trends, emerging technologies, and competitive landscape related to computer vision and provide insights and recommendations for product enhancements.

· Contribute to the continuous improvement of business analysis processes, tools, and methodologies within the organization. 

Qualifications

· Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field.

· 3-4 years of experience as a Business Analyst, preferably with pre-sales experience in the computer vision industry.

· Excellent communication and interpersonal skills to effectively interact with clients, understand their needs, and convey technical information to non-technical stakeholders.

· Proven experience in documenting business requirements, functional specifications, and use cases.

· Ability to collaborate and work effectively with cross-functional teams, including solution architects, developers, and sales professionals.

· Strong analytical and problem-solving skills, with the ability to think critically and propose innovative solutions.

· Proficiency in project management methodologies and tools to ensure timely and successful project delivery.

· Flexibility and adaptability to handle multiple projects simultaneously and work in a fast-paced environment.

· Willingness to travel as required to client locations for meetings, workshops, and presentations. 

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.

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

Lifespark is looking for individuals with a passion for impacting real lives through technology. Lifespark is one of the most promising startups in the Assistive Tech space in India, and has been honoured with several National and International awards. Our mission is to create seamless, persistent and affordable healthcare solutions. If you are someone who is driven to make a real impact in this world, we are your people.

Lifespark is currently building solutions for Parkinson’s Disease, and we are looking for a ML lead to join our growing team. You will be working directly with the founders on high impact problems in the Neurology domain. You will be solving some of the most fundamental and exciting challenges in the industry and will have the ability to see your insights turned into real products every day

Essential experience and requirements:

1. Advanced knowledge in the domains of computer vision, deep learning

2. Solid understand of Statistical / Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments and production level ML system design

3. Experienced with proper project workflow

4. Good at collating multiple datasets (potentially from different sources)

5. Good understanding of setting up production level data pipelines

6. Ability to independently develop and deploy ML systems to various platforms (local and cloud)

7. Fundamentally strong with time-series data analysis, cleaning, featurization and visualisation

8. Fundamental understanding of model and system explainability

9. Proactive at constantly unlearning and relearning

10. Documentation ninja - can understand others documentation as well as create good documentation

Responsibilities :

1. Develop and deploy ML based systems built upon healthcare data in the Neurological domain

2. Maintain deployed systems and upgrade them through online learning

3. Develop and deploy advanced online data pipelines

Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!

As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.

Responsibilities:

1. AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
2. Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
3. Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
4. Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
5. Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
6. Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
7. Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
8. Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.

Requirements

1. Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
2. Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
3. Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
4. Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
5. Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
6. Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
7. Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.

If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!

About UpSolve

We built and deliver complex AI solutions which help drive business decisions faster and more accurately. We are a typical AI company and have a range of solutions developed on Video, Image and Text.

What you will do

• Stay informed on new technologies and implement cautiously
• Maintain necessary documentation for the project
• Fix the issues reported by application users
• Plan, build, and design solutions with a mental note of future requirements
• Coordinate with the development team to manage fixes, code changes, and merging

Location: Mumbai

Working Mode: Remote

What are we looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Minimum 2 years of professional experience in software development, with a focus on machine learning and full stack development.
• Strong proficiency in Python programming language and its machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Experience in developing and deploying machine learning models in production environments.
• Proficiency in web development technologies including HTML, CSS, JavaScript, and front-end frameworks such as React, Angular, or Vue.js.
• Experience in designing and developing RESTful APIs and backend services using frameworks like Flask or Django.
• Knowledge of databases and SQL for data storage and retrieval.
• Familiarity with version control systems such as Git.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work effectively in a fast-paced and dynamic team environment.
• Good to have Cloud Exposure

Responsibilities:

• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
• Design and implement cloud solutions, build MLOps on the cloud (preferably AWS)
• Work with workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools
• Data science models testing, validation, and test automation.
• Communicate with a team of data scientists, data engineers, and architects, and document the processes.

Eligibility:

• Rich hands-on experience in writing object-oriented code using python
• Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, and Automated pipelines)
• Understanding of Data Structures, Data Systems, and software architecture
• Experience in using MLOps frameworks like Kubeflow, MLFlow, and Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc. )

Requirements

Experience

• 5+ years of professional experience in implementing MLOps framework to scale up ML in production.
• Hands-on experience with Kubernetes, Kubeflow, MLflow, Sagemaker, and other ML model experiment management tools including training, inference, and evaluation.
• Experience in ML model serving (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.)
• Proficiency with ML model training frameworks (PyTorch, Pytorch Lightning, Tensorflow, etc.).
• Experience with GPU computing to do data and model training parallelism.
• Solid software engineering skills in developing systems for production.
• Strong expertise in Python.
• Building end-to-end data systems as an ML Engineer, Platform Engineer, or equivalent.
• Experience working with cloud data processing technologies (S3, ECR, Lambda, AWS, Spark, Dask, ElasticSearch, Presto, SQL, etc.).
• Having Geospatial / Remote sensing experience is a plus.

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Roles and Responsibilities:

• Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
• Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
• Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
• Ensure that the MLOps stack is scalable, reliable, and secure.

Skills Required:

• 3-6 years of MLOps experience
• Preferably worked in the startup ecosystem

Primary Skills:

• Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
• Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
• Programming skills: Proficient in at least one programming language, such as Python, and have experience with data science libraries, such as TensorFlow, PyTorch, or Scikit-learn.
• DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.

Secondary Skills:

• Version Control Systems (VCS) tools like Git and Subversion
• Containerization technologies like Docker and Kubernetes
• Cloud Platforms like AWS, Azure, and Google Cloud Platform
• Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
• Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
• Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
• Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI
• Explain ability and Interpretability tools like LIME and SHAP

From building entire infrastructures or platforms to solving complex IT challenges, Cambridge Technology helps businesses accelerate their digital transformation and become AI-first businesses. With over 20 years of expertise as a technology services company, we enable our customers to stay ahead of the curve by helping them figure out the perfect approach, solutions, and ecosystem for their business. Our experts help customers leverage the right AI, big data, cloud solutions, and intelligent platforms that will help them become and stay relevant in a rapidly changing world.

No Of Positions: 1

Skills required: 

• The ideal candidate will have a bachelor’s degree in data science, statistics, or a related discipline with 4-6 years of experience, or a master’s degree with 4-6 years of experience. A strong candidate will also possess many of the following characteristics:
• Strong problem-solving skills with an emphasis on achieving proof-of-concept
• Knowledge of statistical techniques and concepts (regression, statistical tests, etc.)
• Knowledge of machine learning and deep learning fundamentals
• Experience with Python implementations to build ML and deep learning algorithms (e.g., pandas, numpy, sci-kit-learn, Stats Models, Keras, PyTorch, etc.)
• Experience writing and debugging code in an IDE
• Experience using managed web services (e.g., AWS, GCP, etc.)
• Strong analytical and communication skills
• Curiosity, flexibility, creativity, and a strong tolerance for ambiguity
• Ability to learn new tools from documentation and internet resources.

Roles and responsibilities :

• You will work on a small, core team alongside other engineers and business leaders throughout Cambridge with the following responsibilities:
• Collaborate with client-facing teams to design and build operational AI solutions for client engagements.
• Identify relevant data sources for data wrangling and EDA
• Identify model architectures to use for client business needs.
• Build full-stack data science solutions up to MVP that can be deployed into existing client business processes or scaled up based on clear documentation.
• Present findings to teammates and key stakeholders in a clear and repeatable manner.

Experience :

2 - 14 Yrs

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand.

Responsibilities

• Lead the CV and DS Team
• Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant).
• Your work will include formulation and development of a Machine Learning models to solve the underlying problem.
• You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo
• Statistical data modelling and machine learning research.
• Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes
• Conduct applied research to model complex dependencies, statistical inference and predictive modelling
• Technological conception, design and implementation of new features
• Quality assurance of the software through planning, creation and execution of tests
• Work with a cross-functional team to define, build, test, and deploy applications

Requirements:

• Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields.
• 3-4 years of experience with computer vision and data science.
• Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques).
• Experience building production-quality and well-engineered Computer Vision and Data Science products.
• Experience in image processing, algorithms and neural networks.
• Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform
• Solid Python engineering skills and experience with Python, Tensorflow, Docker
• Cooperative and independent work, analytical mindset, and willingness to take responsibility
• Fluency in English, both written and spoken.

We at Thena are looking for a Machine Learning Engineer with 2-4 years of industry experience to join our team. The ideal candidate will be passionate about developing and deploying ML models that drive business value and have a strong background in ML Ops.

Responsibilities:

• Develop, fine-tune, and deploy ML models for B2B customer communication and collaboration use cases.
• Collaborate with cross-functional teams to define requirements, design models, and deploy them in production.
• Optimize model performance and accuracy through experimentation, iteration, and testing.
• Build and maintain ML infrastructure and tools to support model development and deployment.
• Stay up-to-date with the latest research and best practices in ML, and share knowledge with the team.

Qualifications:

• 2-4 years of industry experience in machine learning engineering, with a focus on natural language processing (NLP) and text classification models.
• Experience with ML Ops, including deploying and managing ML models in production environments.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with Embeddings and building on top of LLMs.
• Strong problem-solving and analytical skills, with the ability to develop creative solutions to complex problems.
• Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
 

Company Description

Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
 

Job Responsibilities:

• Design and implement machine learning, information extraction, probabilistic matching algorithms and models
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
• Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
• Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
• Be a valued contributor in shaping the future of our products and services
• You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
• Be part of a fast pace, fun-focused, agile team

Job Requirement:

• 4+ years of industry experience
• Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
• Strong mathematics, statistics, and data analytics
• Solid coding and engineering skills preferably in Machine Learning (not mandatory)
• Proficient in Java, Python, and Scala
• Industry experience building and productionizing end-to-end systems
• Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
• Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.

Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.

• Capable of building accurate machine learning models is the main goal of a machine learning engineer
• Linear Algebra, Applied Statistics and Probability
• Building Data Models
• Strong knowledge of NLP
• Good understanding of multithreaded and object-oriented software development
• Mathematics, Mathematics and Mathematics
• Collaborate with Data Engineers to prepare data models required for machine learning models
• Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
• Build large-scale software systems and numerical computation topics
• Use predictive analytics and data mining to solve complex problems and drive business decisions
• Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
• Tackle situations where problem is unknown and the Solution is unknown
• Solve analytical problems, and effectively communicate methodologies and results to the customers
• Adept at translating business needs into technical requirements and translating data into actionable insights
• Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.

Benefits

• Competitive salary for a startup
• Gain experience rapidly
• Work directly with the executive team
• Fast-paced work environment

About Phenom People

At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.

 Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.

 We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.

 Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.

 We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.

 Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.

Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
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https://www.phenom.com/">Phenom | Talent Experience Management

Data Scientist

Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.

What you’ll do?

• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
• Research new and innovative machine learning approaches.
• Perform hands-on analysis and modeling of enormous data sets to develop insights that increase Ad Traffic and Campaign Efficacy.
• Collaborate with other data scientists, data engineers, product managers, and business stakeholders to build well-crafted, pragmatic data products.  
• Actively take on new projects and constantly try to improve the existing models and infrastructure necessary for offline and online experimentation and iteration.
• Work with your team on ambiguous problem areas in existing or new ML initiatives

What are we looking for?

• Ability to write a SQL query to pull the data you need.
• Fluency in Python and familiarity with its scientific stack such as numpy, pandas, scikit learn, matplotlib.
• Experience in Tensorflow and/or R Modelling and/or PyTorch
• Ability to understand a business problem and translate, and structure it into a data science problem. 

Job Category: Data Science

Job Type: Full Time

Job Location: Bangalore

YOptima is a well capitalized digital startup pioneering full funnel marketing via programmatic media. YOptima is trusted by leading marketers and agencies in India and is expanding its footprint globally.

We are expanding our tech team and looking for a prolific Staff Engineer to lead our tech team as a leader (without necessarily being a people manager). Our tech is hosted on Google cloud and the stack includes React, Node.js, AirFlow, Python, Cloud SQL, BigQuery, TensorFlow.

If you have hands-on experience and passion for building and running scalable cloud-based platforms that change the lives of the customers globally and drive industry leadership, please read on.

1. You have 6+ years of quality experience in building scalable digital products/platforms with experience in full stack development, big data analytics and Devops.
2. You are great at identifying risks and opportunities, and have the depth that comes with willingness and capability to be hands-on. Do you still code? Do you love to code? Do you love to roll up your sleeves and debug things?
3. Do you enjoy going deep into that part of the 'full stack' that you are not an expert of?

Responsibilities:

• You will help build a platform that supports large scale data, with multi-tenancy and near real-time analytics.
• You will lead and mentor a team of data engineers and full stack engineers to build the next generation data-driven marketing platform and solutions.
• You will lead exploring and building new tech and solutions that solve business problems of today and tomorrow.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science or equivalent discipline.
• Excellent computer systems fundamentals, DS/Algorithms and problem solving skills.
• Experience in conceiving, designing, architecting, developing and operating full stack, data-driven platforms using Big data and cloud tech in GCP/AWS environments.

What you get: Opportunity to build a global company. Amazing learning experience. Transparent work culture. Meaningful equity in the business.

At YOptima, we value people who are driven by a higher sense of responsibility, bias for action, transparency, persistence with adaptability, curiosity and humility. We believe that successful people have more failures than average people have attempts. And that success needs the creative mindset to deal with ambiguities when you start, the courage to handle rejections and failure and rise up, and the persistence and humility to iterate and course correct.

1. We look for people who are initiative driven, and not interruption driven. The ones who challenge the status quo with humility and candor.
2. We believe startup managers and leaders are great individual contributors too, and that there is no place for context free leadership.
3. We believe that the curiosity and persistence to learn new skills and nuances, and to apply the smartness in different contexts matter more than just academic knowledge.

Location:

1. Brookefield, Bangalore
2. Jui Nagar, Navi Mumbai

About Us: 

Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don’t provide the access, assistance and modern tools that owners need to successfully grow their business. 

We started Novo to challenge the status quo—we’re on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). Novo is flipping the script of the banking world, and we’re excited to lead the small business banking revolution.

At Novo, we’re here to help entrepreneurs, freelancers, startups and SMBs achieve their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help to save time and increase cash flow. Our unique product integrations enable easy access to tracking payments, transferring money internationally, managing business transactions and more. We’ve made a big impact in a short amount of time, helping thousands of organizations access powerfully simple business banking.  

We are looking for a Senior Data Scientist who is enthusiastic about using data and technology to solve complex business problems. If you're passionate about leading and helping to architect and develop thoughtful data solutions, then we want to chat. Are you ready to revolutionize the small business banking industry with us?

About the Role: (specific to the role-- describe the role activities/duties, who they interact with, what they are accountable for, how the role operates in the team, department and organization)

• Build and manage predictive models focussed on credit risk, fraud, conversions, churn, consumer behaviour etc
• Provides best practices, direction for data analytics and business decision making across multiple projects and functional areas
• Implements performance optimizations and best practices for scalable data models, pipelines and modelling
• Resolve blockers and help the team stay productive
• Take part in building the team and iterating on hiring processes

Requirements for the Role: (these are specific to the role-- technical skills and requirements to fulfill the job duties, certifications, years of experience, degree)

• 4+ years of experience in data science roles focussed on managing data processes, modelling and dashboarding
• Strong experience in python, SQL and in-depth understanding of modelling techniques
• Experience working with Pandas, scikit learn, visualization libraries like plotly, bokeh etc.
• Prior experience with credit risk modelling will be preferred
• Deep Knowledge of Python to write scripts to manipulate data and generate automated  reports

How We Define Success: (these are specific to the role-- should be tied to performance management, OKRs or general goals)

• Expand access to data driven decision making across the organization
• Solve problems in risk, marketing, growth, customer behaviour through analytics models that increase efficacy

Nice To Have, but Not Required:

• Experience in dashboarding libraries like Python Dash and exposure to CI/CD 
• Exposure to big data tools like Spark, and some core tech knowledge around API’s, data streaming etc.

Novo values diversity as a core tenant of the work we do and the businesses we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic. 

DATA SCIENTIST-MACHINE LEARNING                           

GormalOne LLP. Mumbai IN

Job Description

GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.

GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.

Location: Bangalore

Roles & Responsibilities

• Individual contributor
• Developing and maintaining an end-to-end data science project
• Deploying scalable applications on different platform
• Ability to analyze and enhance the efficiency of existing products

What are we looking for?

• 3 to 5 Years of experience as a Data Scientist
• Skilled in Data Analysis, EDA, Model Building, and Analysis.
• Basic coding skills in Python
• Decent knowledge of Statistics
• Creating pipelines for ETL and ML models.
• Experience in the operationalization of ML models
• Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
• Hands-on experience in Keras, PyTorch or Tensorflow

Basic Qualifications

• Tech/BE in Computer Science or Information Technology
• Certification in AI, ML, or Data Science is preferred.
• Master/Ph.D. in a relevant field is preferred.

Preferred Requirements

• Exp in tools and packages like Tensorflow, MLFlow, Airflow
• Exp in object detection techniques like YOLO
• Exposure to cloud technologies
• Operationalization of ML models
• Good understanding and exposure to MLOps

Kindly note: Salary shall be commensurate with qualifications and experience