50+ Machine Learning (ML) Jobs in India

💯What will you do?

• Create and conduct engaging and informative Data Science classes that incorporate real-world examples and hands-on activities to ensure student engagement and retention.
• Evaluate student projects to ensure they meet industry standards and provide personalised, constructive feedback to students to help them improve their skills and understanding.
• Conduct viva sessions to assess student understanding and comprehension of the course materials. You will evaluate each student's ability to apply the concepts they have learned in real-world scenarios and provide feedback on their performance.
• Conduct regular assessments to evaluate student progress, provide feedback to students, and identify areas for improvement in the curriculum.
• Stay up-to-date with industry developments, best practices, and trends in Data Science, and incorporate this knowledge into course materials and instruction.
• Work with the placements team to provide guidance and support to students as they navigate their job search, including resume and cover letter reviews, mock interviews, and career coaching.
• Train the TAs to take the doubt sessions and for project evaluations

💯Who are we looking for?

We are looking for someone who has:

• A minimum of 1-2 years of industry work experience in data science or a related field. Teaching experience is a plus.
• In-depth knowledge of various aspects of data science like Python, MYSQL, Power BI, Excel, Machine Learning with statistics, NLP, DL.
• Knowledge of AI tools like ChatGPT (latest versions as well), debugcode.ai, etc.
• Passion for teaching and a desire to impart practical knowledge to students.
• Excellent communication and interpersonal skills, with the ability to engage and motivate students of all levels.
• Experience with curriculum development, lesson planning, and instructional design is a plus.
• Familiarity with learning management systems (LMS) and digital teaching tools will be an added advantage.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment.

💯What do we offer in return?

• Awesome colleagues & a great work environment - Internshala is known for its culture (see for yourself) and has twice been recognized as a Great Place To Work in the last 3 years
• A massive learning opportunity to be an early member of a new initiative and experience building it from scratch
• Competitive remuneration

💰 Compensation - Competitive remuneration based on your experience and skills

📅 Start date - Immediately

Job description

We are looking for a Data Scientist with strong AI/ML engineering skills to join our high-impact team at KrtrimaIQ Cognitive Solutions. This is not a notebook-only role — you must have production-grade experience deploying and scaling AI/ML models in cloud environments, especially GCP, AWS, or Azure.

This role involves building, training, deploying, and maintaining ML models at scale, integrating them with business applications. Basic model prototyping won't qualify — we’re seeking hands-on expertise in building scalable machine learning pipelines.

Key Responsibilities

Design, train, test, and deploy end-to-end ML models on GCP (or AWS/Azure) to support product innovation and intelligent automation.

Implement GenAI use cases using LLMs

Perform complex data mining and apply statistical algorithms and ML techniques to derive actionable insights from large datasets.

Drive the development of scalable frameworks for automated insight generation, predictive modeling, and recommendation systems.

Work on impactful AI/ML use cases in Search & Personalization, SEO Optimization, Marketing Analytics, Supply Chain Forecasting, and Customer Experience.

Implement real-time model deployment and monitoring using tools like Kubeflow, Vertex AI, Airflow, PySpark, etc.

Collaborate with business and engineering teams to frame problems, identify data sources, build pipelines, and ensure production-readiness.

Maintain deep expertise in cloud ML architecture, model scalability, and performance tuning.

Stay up to date with AI trends, LLM integration, and modern practices in machine learning and deep learning.

Technical Skills Required Core ML & AI Skills (Must-Have):

Strong hands-on ML engineering (70% of the role) — supervised/unsupervised learning, clustering, regression, optimization.

Experience with real-world model deployment and scaling, not just notebooks or prototypes.

Good understanding of ML Ops, model lifecycle, and pipeline orchestration.

Strong with Python 3, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Seaborn, Matplotlib, etc.

SQL proficiency and experience querying large datasets.

Deep understanding of linear algebra, probability/statistics, Big-O, and scientific experimentation.

Cloud experience in GCP (preferred), AWS, or Azure.

Cloud & Big Data Stack

Hands-on experience with:

GCP tools – Vertex AI, Kubeflow, BigQuery, GCS

Or equivalent AWS/Azure ML stacks

Familiar with Airflow, PySpark, or other pipeline orchestration tools.

Experience reading/writing data from/to cloud services.

Qualifications

Bachelor's/Master’s/Ph.D. in Computer Science, Mathematics, Engineering, Data Science, Statistics, or related quantitative field.

4+ years of experience in data analytics and machine learning roles.

2+ years of experience in Python or similar programming languages (Java, Scala, Rust).

Must have experience deploying and scaling ML models in production.

Nice to Have

Experience with LLM fine-tuning, Graph Algorithms, or custom deep learning architectures.

Background in academic research to production applications.

Building APIs and monitoring production ML models.

Familiarity with advanced math – Graph Theory, PDEs, Optimization Theory.

Communication & Collaboration

Strong ability to explain complex models and insights to both technical and non-technical stakeholders.

Ask the right questions, clarify objectives, and align analytics with business goals.

Comfortable working cross-functionally in agile and collaborative teams.

Important Note:

This is a Data Science-heavy role — 70% of responsibilities involve building, training, deploying, and scaling AI/ML models.

Cloud experience is mandatory (GCP preferred, AWS/Azure acceptable).

Only candidates with hands-on experience in deploying ML models into production (not just notebooks) will be considered.

About the Role

We are seeking an AI Product Manager to lead the full product lifecycle of our SaMD-compliant AI platform. You will act as the bridge between data scientists, developers, and clinicians, ensuring timely delivery of regulatory-grade features that align with hospital pilots and scale for long-term adoption.

This role requires hands-on experience with Agile delivery, CI/CD pipelines, and healthcare SaaS products, along with strong communication and presentation skills for customer-facing interactions.

Key Responsibilities

• Own the end-to-end product lifecycle, from roadmap definition to delivery and scaling.
• Translate clinical and technical requirements into actionable product features.
• Drive Agile ceremonies (sprint planning, backlog grooming, stand-ups, retrospectives).
• Prioritize product backlog to balance hospital pilot needs with long-term scalability.
• Ensure regulatory-grade quality standards (SaMD compliance) are met.
• Collaborate with engineering, data science, and clinical teams for delivery.
• Manage CI/CD release pipelines in coordination with DevOps teams.
• Prepare reports, dashboards, and customer-facing presentations (PowerPoint) to communicate progress, outcomes, and next steps.
• Engage with stakeholders, hospital partners, and customers to gather feedback and refine product vision.

Requirements

• 6–10 years of experience in Product or Delivery Management.
• Strong exposure to AI/ML-driven platforms or clinical healthcare SaaS.
• Proven expertise in Agile methodologies and CI/CD delivery environments.
• Experience working with cross-functional teams (data scientists, engineers, clinicians).
• Strong communication and stakeholder management skills.
• Excellent ability to create presentations, reports, and customer-facing documents.
• Prior experience with SaMD-compliant or regulated products (preferred).
• Bachelor’s or Master’s in Engineering, Computer Science, Healthcare IT, or related field.

Why Join Us?

• Work on cutting-edge AI products shaping the future of healthcare.
• Collaborate with clinicians, hospitals, and AI experts to create real-world impact.
• Be part of a fast-scaling, innovation-driven environment.

We are hiring freelancers to work on advanced Data & AI projects using Databricks. If you are passionate about cloud platforms, machine learning, data engineering, or architecture, and want to work with cutting-edge tools on real-world challenges, this is the opportunity for you!

✅ Key Details

• Work Type: Freelance / Contract
• Location: Remote
• Time Zones: IST / EST only
• Domain: Data & AI, Cloud, Big Data, Machine Learning
• Collaboration: Work with industry leaders on innovative projects

🔹 Open Roles

1. Databricks – Senior Consultant

• Skills: Data Warehousing, Python, Java, Scala, ETL, SQL, AWS, GCP, Azure
• Experience: 6+ years

2. Databricks – ML Engineer

• Skills: CI/CD, MLOps, Machine Learning, Spark, Hadoop
• Experience: 4+ years

3. Databricks – Solution Architect

• Skills: Azure, GCP, AWS, CI/CD, MLOps
• Experience: 7+ years

4. Databricks – Solution Consultant

• Skills: SQL, Spark, BigQuery, Python, Scala
• Experience: 2+ years

✅ What We Offer

• Opportunity to work with top-tier professionals and clients
• Exposure to cutting-edge technologies and real-world data challenges
• Flexible remote work environment aligned with IST / EST time zones
• Competitive compensation and growth opportunities

📌 Skills We Value

Cloud Computing | Data Warehousing | Python | Java | Scala | ETL | SQL | AWS | GCP | Azure | CI/CD | MLOps | Machine Learning | Spark |

Strong proficiency in Python and experience with ML libraries (Scikitlearn TensorFlow, PyTorch, scikit-learn) -ML & DS: Understanding of concept ML Modeling and Evaluation Metrix -Containerization & Orchestration:

Hands-on experience with Docker and Kubernetes for deploying ML models -CI/CD Pipelines:

Experience building automated CI/CD pipelines using tools like Jenkins, GitLab CI, GitHub Actions,

Experience with AWS,

Workflow Automation: Kubeflow/Airflow/MLFlow -Model Monitoring: Familiarity/Understanding with monitoring tools and techniques for ML models (e.g., Prometheus, Grafana, Seldon, Evidently AI) Version Control: Experience with Git: managing code and model versioning

About Us :

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values :

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement :

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.

Role : Senior AI Engineer

Location : Noida, Delhi/NCR

Role Overview :

As a Senior Data Scientist / AI Engineer, you will be a key player in our technical leadership. You will be responsible for designing, developing, and deploying sophisticated AI and Machine Learning solutions, with a strong emphasis on Generative AI and Large Language Models (LLMs).

You will architect and manage scalable AI microservices, drive research into state-of-the-art techniques, and translate complex business requirements into tangible, high-impact products. This role requires a blend of deep technical expertise, strategic thinking, and leadership.

Key Responsibilities :

- Architect & Develop AI Solutions : Design, build, and deploy robust and scalable machine learning models, with a primary focus on Natural Language Processing (NLP), Generative AI, and LLM-based Agents.

- Build AI Infrastructure : Create and manage AI-driven microservices using frameworks like Python FastAPI, ensuring high performance and reliability.

- Lead AI Research & Innovation : Stay abreast of the latest advancements in AI/ML. Lead research initiatives to evaluate and implement state-of-the-art models and techniques for performance and cost optimization.

- Solve Business Problems : Collaborate with product and business teams to understand challenges and develop data-driven solutions that create significant business value, such as building business rule engines or predictive classification systems.

- End-to-End Project Ownership : Take ownership of the entire lifecycle of AI projectsfrom ideation, data processing, and model development to deployment, monitoring, and iteration on cloud platforms.

- Team Leadership & Mentorship : Lead learning initiatives within the engineering team, mentor junior data scientists and engineers, and establish best practices for AI development.

- Cross-Functional Collaboration : Work closely with software engineers to integrate AI models into production systems and contribute to the overall system architecture.

Required Skills and Qualifications :

- Masters (M.Tech.) or Bachelor's (B.Tech.) degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.

- 6+ years of professional experience in a Data Scientist, AI Engineer, or related role.

- Expert-level proficiency in Python and its core data science libraries (e.g., PyTorch, Huggingface Transformers, Pandas, Scikit-learn).

- Demonstrable, hands-on experience building and fine-tuning Large Language Models (LLMs) and implementing Generative AI solutions.

- Proven experience in developing and deploying scalable systems on cloud platforms, particularly AWS. Experience with GCS is a plus.

- Strong background in Natural Language Processing (NLP), including experience with multilingual models and transcription.

- Experience with containerization technologies, specifically Docker.

- Solid understanding of software engineering principles and experience building APIs and microservices.

Preferred Qualifications :

- A strong portfolio of projects. A track record of publications in reputable AI/ML conferences is a plus.

- Experience with full-stack development (Node.js, Next.js) and various database technologies (SQL, MongoDB, Elasticsearch).

- Familiarity with setting up and managing CI/CD pipelines (e.g., Jenkins).

- Proven ability to lead technical teams and mentor other engineers.

- Experience developing custom tools or packages for data science workflows.

Job Title: AI Developer/Engineer

Location: Remote

Employment Type: Full-time

About the Organization 

We are a cutting-edge AI-powered startup that is revolutionizing data management and content generation. Our platform harnesses the power of generative AI and natural language processing to turn unstructured data into actionable insights, providing businesses with real-time, intelligent content and driving operational efficiency. As we scale, we are looking for an experienced lead architect to help design and build our next-generation AI-driven solutions.

About the Role

We are seeking an AI Developer to design, fine-tune, and deploy advanced Large Language Models (LLMs) and AI agents across healthcare and SMB workflows. You will work with cutting-edge technologies—OpenAI, Claude, LLaMA, Gemini, Grok—building robust pipelines and scalable solutions that directly impact real-world hospital use cases such as risk calculators, clinical protocol optimization, and intelligent decision support.

Key Responsibilities

• Build, fine-tune, and customize LLMs and AI agents for production-grade workflows
• Leverage Node.js for backend development and integration with various cloud services.
• Use AI tools and AI prompts to develop automated processes that enhance data management and client offerings
• Drive the evolution of deployment methodologies, ensuring that AI systems are continuously optimized, tested, and delivered in production-ready environments.
•  Stay up-to-date with emerging AI technologies, cloud platforms, and development methodologies to continually evolve the platform’s capabilities.
• Integrate and manage vector databases such as FAISS and Pinecone.
• Ensure scalability, performance, and compliance in all deployed AI systems.

Required Qualifications

• 2–3 years of hands-on experience in AI/ML development or full-stack AI integration.
• ​​Proven expertise in building Generative AI models and AI-powered applications, especially in a cloud environment.
• Strong experience with multi-cloud infrastructure and platforms,
• Proficiency with Node.js and modern backend frameworks for developing scalable solutions.
• In-depth understanding of AI prompts, natural language processing, and agent-based systems for enhancing decision-making processes.
• Familiarity with AI tools for model training, data processing, and real-time inference tasks.
• Experience working with hybrid cloud solutions, including private and public cloud integration for AI workloads.
• Strong problem-solving skills and a passion for innovation in AI and cloud technologies
• Agile delivery mythology knowledge.
• CI/CD pipeline deployment with JIRA and GitHub knowledge for code deployment
• Strong experience with LLMs, prompt engineering, and fine-tuning.
• Knowledge of vector databases (FAISS, Pinecone, Milvus, or similar).

Nice to Have

• Experience in healthcare AI, digital health, or clinical applications.
• Exposure to multi-agent AI frameworks.

What We Offer

• Flexible working hours. 
• Collaborative, innovation-driven work culture.
• Growth opportunities in a rapidly evolving AI-first environment.

• 3 + years owning ML / LLM services in production on Azure (AKS, Azure OpenAI/Azure ML) or another major cloud.
• Strong Python plus hands-on work with a modern deep-learning stack (PyTorch / TensorFlow / HF Transformers). 
• Built features with LLM toolchains: prompt engineering, function calling / tools, vector stores (FAISS, Pinecone, etc.). 
• Familiar with agentic AI patterns (LangChain / LangGraph, eval harnesses, guardrails) and strategies to tame LLM non-determinism.
• Comfortable with containerization & CI/CD (Docker, Kubernetes, Git-based workflows); can monitor, scale and troubleshoot live services. 

Nice-to-Haves

• Experience in billing, collections, fintech, or professional-services SaaS. 
• Knowledge of email deliverability, templating engines, or CRM systems. 
• Exposure to compliance frameworks (SOC 2, ISO 27001) or secure handling of financial data.

Title: Quantitative Developer

Location : Mumbai

Candidates preferred with Master's

Who We Are

At Dolat Capital, we are a collective of traders, puzzle solvers, and tech enthusiasts passionate about decoding the intricacies of financial markets. From navigating volatile trading conditions with precision to continuously refining cutting-edge technologies and quantitative strategies, our work thrives at the intersection of finance and engineering.

We operate a robust, ultra-low latency infrastructure built for market-making and active trading across Equities, Futures, and Options—with some of the highest fill rates in the industry. If you're excited by technology, trading, and critical thinking, this is the place to evolve your skills into world class capabilities.

What You Will Do

This role offers a unique opportunity to work across both quantitative development and high frequency trading. You'll engineer trading systems, design and implement algorithmic strategies, and directly participate in live trading execution and strategy enhancement.

1. Quantitative Strategy & Trading Execution

• Design, implement, and optimize quantitative strategies for trading derivatives, index options, and ETFs
• Trade across options, equities, and futures, using proprietary HFT platforms
• Monitor and manage PnL performance, targeting Sharpe ratios of 6+
• Stay proactive in identifying market opportunities and inefficiencies in real-time HFT environments
• Analyze market behavior, particularly in APAC indices, to adjust models and positions dynamically

2. Trading Systems Development

• Build and enhance low-latency, high-throughput trading systems
• Develop tools to simulate trading strategies and access historical market data
• Design performance-optimized data structures and algorithms for fast execution
• Implement real-time risk management and performance tracking systems

3. Algorithmic and Quantitative Analysis

• Collaborate with researchers and traders to integrate strategies into live environments
• Use statistical methods and data-driven analysis to validate and refine models
• Work with large-scale HFT tick data using Python / C++

4. AI/ML Integration

• Develop and train AI/ML models for market prediction, signal detection, and strategy enhancement
• Analyze large datasets to detect patterns and alpha signals

5. System & Network Optimization

• Optimize distributed and concurrent systems for high-transaction throughput
• Enhance platform performance through network and systems programming
• Utilize deep knowledge of TCP/UDP and network protocols

6. Collaboration & Mentorship

• Collaborate cross-functionally with traders, engineers, and data scientists
• Represent Dolat in campus recruitment and industry events as a technical mentor

What We Are Looking For:

• Strong foundation in data structures, algorithms, and object-oriented programming (C++).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience in systems programming within a Linux environment.
• Proficient and Hands on programming using python/ C++
• Familiarity with distributed computing and high-concurrency systems.
• Knowledge of network programming, including TCP/UDP protocols.
• Strong analytical and problem-solving skills.

A passion for technology-driven solutions in the financial markets.

As an L3 Data Scientist, you’ll work alongside experienced engineers and data scientists to solve real-world problems using machine learning (ML) and generative AI (GenAI). Beyond classical data science tasks, you’ll contribute to building and fine-tuning large language model (LLM)– based applications, such as chatbots, copilots, and automation workflows.

Key Responsibilities

• Collaborate with business stakeholders to translate problem statements into data science tasks.
• Perform data collection, cleaning, feature engineering, and exploratory data analysis (EDA).
• Build and evaluate ML models using Python and libraries such as scikit-learn and XGBoost.
• Support the development of LLM-powered workflows like RAG (Retrieval-Augmented Generation), prompt engineering, and fine-tuning for use cases including summarization, Q&A, and task automation.
• Contribute to GenAI application development using frameworks like LangChain, OpenAI APIs, or similar ecosystems.
• Work with engineers to integrate models into applications, build/test APIs, and monitor performance post-deployment.
• Maintain reproducible notebooks, pipelines, and documentation for ML and LLM experiments.
• Stay updated on advancements in ML, NLP, and GenAI, and share insights with the team.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• 6–9 years of experience in data science, ML, or AI (projects and internships included).
• Proficiency in Python with experience in libraries like pandas, NumPy, scikit-learn, and matplotlib.
• Basic exposure to LLMs (e.g., OpenAI, Cohere, Mistral, Hugging Face) or a strong interest with the ability to learn quickly.
• Familiarity with SQL and structured data handling.
• Understanding of NLP fundamentals and vector-based retrieval techniques (a plus).
• Strong communication, problem-solving skills, and a proactive attitude.

Nice-to-Have (Not Mandatory)

• Experience with GenAI prototyping using LangChain, LlamaIndex, or similar frameworks.
• Knowledge of REST APIs and model integration into backend systems.
• Familiarity with cloud platforms (AWS/GCP/Azure), Docker, or Git.

As an L1/L2 Data Scientist, you’ll work alongside experienced engineers and data scientists to solve real-world problems using machine learning (ML) and generative AI (GenAI). Beyond classical data science tasks, you’ll contribute to building and fine-tuning large language model (LLM)– based applications, such as chatbots, copilots, and automation workflows.

Key Responsibilities

• Collaborate with business stakeholders to translate problem statements into data science tasks.
• Perform data collection, cleaning, feature engineering, and exploratory data analysis (EDA).
• Build and evaluate ML models using Python and libraries such as scikit-learn and XGBoost.
• Support the development of LLM-powered workflows like RAG (Retrieval-Augmented Generation), prompt engineering, and fine-tuning for use cases including summarization, Q&A, and task automation.
• Contribute to GenAI application development using frameworks like LangChain, OpenAI APIs, or similar ecosystems.
• Work with engineers to integrate models into applications, build/test APIs, and monitor performance post-deployment.
• Maintain reproducible notebooks, pipelines, and documentation for ML and LLM experiments.
• Stay updated on advancements in ML, NLP, and GenAI, and share insights with the team.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• 2.5–5 years of experience in data science, ML, or AI (projects and internships included).
• Proficiency in Python with experience in libraries like pandas, NumPy, scikit-learn, and matplotlib.
• Basic exposure to LLMs (e.g., OpenAI, Cohere, Mistral, Hugging Face) or strong interest with the ability to learn quickly.
• Familiarity with SQL and structured data handling.
• Understanding of NLP fundamentals and vector-based retrieval techniques (a plus).
• Strong communication, problem-solving skills, and a proactive attitude.

Nice-to-Have (Not Mandatory)

• Experience with GenAI prototyping using LangChain, LlamaIndex, or similar frameworks.
• Knowledge of REST APIs and model integration into backend systems.
• Familiarity with cloud platforms (AWS/GCP/Azure), Docker, or Git.

Job Description – AI Developer

Job Description 

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

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

Key Responsibilities

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

What we are looking for

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

Qualifications

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

Preferred / Nice to Have

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

Responsibilities

● Design, build, and deploy applied ML models (NLP, LLM-based) to solve real-world sales tech problems.

● Build and orchestrate true multi-agent systems to collaboratively solve complex tasks and workflows that reason, remember, plan, and take actions over structured and unstructured data.

● Use frameworks like LangGraph, CrewAI, or custom planners to orchestrate LLM-powered agents.

● Prototype and productionize capabilities using foundation models (OpenAI, Claude, Gemini, etc.), embeddings, and vector databases (e.g., Pinecone, Weaviate).

● Work with the product team to integrate intelligent agents into customer CRM workflows and GTM-facing tools.

● Design observability, evaluation and control mechanisms to ensure agent reliability, traceability, safety and frugality.

● Continuously improve agents with RF and active learning.

Requirements

● Bachelor’s or Master’s in Computer Science, AI/ML, or a related field.

● 2+ years of experience deploying ML models or AI systems in production

environments.

● Experience with LLMs, NLP pipelines, prompt engineering, and fine-tuning.

● Familiarity with agentic frameworks (LangChain, LangGraph, AutoGPT, CrewAI, or custom orchestration).

● Strong Python programming skills and deep knowledge of the ML/LLM ecosystem.

● Hands-on experience with MLOps, API integrations, and cloud infrastructure (AWS, GCP, or Azure).

● Ability to balance rapid experimentation with robust engineering.

Nice to Have

● Experience working with sales/revenue data (CRM, Gong, Salesforce, LinkedIn).

● Familiarity with reasoning techniques (ReAct, CoT, Tree-of-Thoughts), graph orchestration, and tool chaining.

● Exposure to multi-agent systems, RAG pipelines, or feedback loops in production.

● Contributions to open-source AI/agentic tools or frameworks.

We are looking for a proactive and skilled MEAN Stack Developer with 2–4 years of experience to join our growing team at Rudra Innovative Software Pvt. Ltd. The ideal candidate must have strong proficiency in Angular and TypeScript, along with hands-on experience in the full MEAN Stack (MongoDB, Express.js, Angular, Node.js). Exposure to microservices architecture is highly desirable.

Key Responsibilities:

• Develop, enhance, and maintain robust web applications using the MEAN stack
• Write clean, maintainable, and efficient code with a strong focus on Angular and TypeScript
• Integrate and manage RESTful APIs and backend services using Node.js and Express.js
• Collaborate closely with designers, testers, and other developers for end-to-end delivery
• Work on designing and developing microservices-based components where applicable
• Participate in daily standups, code reviews, and technical discussions
• Troubleshoot application issues, perform root cause analysis, and implement solutions

Required Skills:

• 2–3 years of solid experience with Angular (v18+) and TypeScript
• Awareness of current Angular features like standalone components and signals
• Strong foundation in JavaScript, HTML5, and CSS3
• Proficient in Node.js and Express.js development
• Familiar with MongoDB and writing optimized database queries
• Good understanding of RESTful APIs, JSON, and API integration
• Hands-on experience with Git and version control practices
• Exposure to microservices architecture and understanding of its types (e.g., API gateway, database per service, event-driven communication)
• Excellent debugging, problem-solving, and communication skills

Preferred Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field
• Prior experience working in Agile/Scrum environments
• Familiarity with Docker, Kubernetes, or any cloud services is a plus

What We Offer:

• Opportunity to work on exciting and challenging global projects
• Supportive, collaborative, and innovation-driven work environment
• Competitive compensation with performance-based incentives
• Ongoing training, learning resources, and growth opportunities

We’re seeking a highly skilled, execution-focused Senior Data Scientist with a minimum of 5 years of experience. This role demands hands-on expertise in building, deploying, and optimizing machine learning models at scale, while working with big data technologies and modern cloud platforms. You will be responsible for driving data-driven solutions from experimentation to production, leveraging advanced tools and frameworks across Python, SQL, Spark, and AWS. The role requires strong technical depth, problem-solving ability, and ownership in delivering business impact through data science.

Responsibilities

• Design, build, and deploy scalable machine learning models into production systems.
• Develop advanced analytics and predictive models using Python, SQL, and popular ML/DL frameworks (Pandas, Scikit-learn, TensorFlow, PyTorch).
• Leverage Databricks, Apache Spark, and Hadoop for large-scale data processing and model training.
• Implement workflows and pipelines using Airflow and AWS EMR for automation and orchestration.
• Collaborate with engineering teams to integrate models into cloud-based applications on AWS.
• Optimize query performance, storage usage, and data pipelines for efficiency.
• Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment.
• Drive initiatives independently with high ownership and accountability.
• Stay up to date with industry best practices in machine learning, big data, and cloud-native deployments.

Requirements:

• Minimum 5 years of experience in Data Science or Applied Machine Learning.
• Strong proficiency in Python, SQL, and ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).
• Proven expertise in deploying ML models into production systems.
• Experience with big data platforms (Hadoop, Spark) and distributed data processing.
• Hands-on experience with Databricks, Airflow, and AWS EMR.
• Strong knowledge of AWS cloud services (S3, Lambda, SageMaker, EC2, etc.).
• Solid understanding of query optimization, storage systems, and data pipelines.
• Excellent problem-solving skills, with the ability to design scalable solutions.
• Strong communication and collaboration skills to work in cross-functional teams.

Benefits:

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

About Us:

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

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

Job Description – Machine Learning Expert

Role: Machine Learning Expert

Experience: 6+ Years

Location: Bangalore

Education: B.Tech Degree (Computer Science / Information Technology / Data Science / related fields)

Work Mode: Hybrid – 3 Days Office + 3 Days Work from Home

Interview Mode: Candidate must be willing to attend Face-to-Face (F2F) L2 round at Bangalore location

About the Role

We are seeking a highly skilled Machine Learning Expert with a strong background in building, training, and deploying AI/ML models. The ideal candidate will bring hands-on expertise in designing intelligent systems that leverage advanced algorithms, deep learning, and data-driven insights to solve complex business challenges.

Key Responsibilities

• Develop and implement machine learning and deep learning models for real-world business use cases.
• Perform data cleaning, preprocessing, feature engineering, and model optimization.
• Research, design, and apply state-of-the-art ML techniques across domains such as NLP, Computer Vision, or Predictive Analytics.
• Collaborate with data engineers and software developers to ensure seamless end-to-end ML solution deployment.
• Deploy ML models to production environments and monitor performance for scalability and accuracy.
• Stay updated with the latest advancements in Artificial Intelligence and Machine Learning frameworks.
• 
  

Required Skills & Qualifications

• B.Tech degree in Computer Science, Information Technology, Data Science, or related discipline.
• 6+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Deep Learning.
• Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Solid foundation in mathematics, statistics, algorithms, and probability.
• Experience in working with NLP, Computer Vision, Recommendation Systems, or Predictive Modeling.
• Knowledge of cloud platforms (AWS / GCP / Azure) for model deployment.
• Familiarity with MLOps tools and practices for lifecycle management.
• Excellent problem-solving skills and the ability to work in a collaborative environment.
• 
  

Preferred Skills (Good to Have)

• Experience with Big Data frameworks (Hadoop, Spark).
• Exposure to Generative AI, LLMs (Large Language Models), and advanced AI research.
• Contributions to open-source projects, publications, or patents in AI/ML.
• 
  

Work Mode & Interview Process

• Hybrid Model: 3 days in office (Bangalore) + 3 days remote.
• Interview: Candidate must be available for Face-to-Face L2 interview at Bangalore location.

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.

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.

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

Work you’ll do

As an AI Engineer at Moative, you will be at the forefront of applying cutting-edge AI to solve real-world problems. You will be instrumental in designing and developing intelligent software solutions, leveraging the power of foundation models to automate and optimize critical workflows. Collaborating closely with domain experts, data scientists, and ML engineers, you will integrate advanced ML and AI technologies into both existing and new systems. This role offers a unique opportunity to explore innovative ideas, experiment with the latest foundation models, and build impactful products that directly enhance the lives of citizens by transforming how government services are delivered. You'll be working on challenging and impactful projects that move the needle on traditionally difficult-to-automate processes.

Responsibilities

• Utilize and adapt foundation models, particularly in vision and data extraction, as the core building blocks for developing impactful products aimed at improving government service delivery. This includes prompt engineering, fine-tuning, and evaluating model performance
• Architect, build, and deploy intelligent AI agent-driven workflows that automate and optimize key processes within government service delivery. This encompasses the full lifecycle from conceptualization and design to implementation and monitoring
• Contribute directly to enhancing our model evaluation and monitoring methodologies to ensure robust and reliable system performance. Proactively identify areas for improvement and implement solutions to optimize model accuracy and efficiency
• Continuously learn and adapt to the rapidly evolving landscape of AI and foundation models, exploring new techniques and technologies to enhance our capabilities and solutions

Who you are

You are a passionate and results-oriented engineer who is driven by the potential of AI/ML to revolutionize processes, enhance products, and ultimately improve user experiences. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration. 

You are adept at working with real-world, often imperfect data, and have a proven ability to develop, refine, and deploy AI/ML models into production in a cost-effective and scalable manner. You are excited by the prospect of directly impacting government services and making a positive difference in the lives of citizens

Skills & Requirements

• 3+ years of experience in programming languages such as Python or Scala
• Proficient knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization, DevOps (Docker, Kubernetes)
• Tuning and deploying foundation models, particularly for vision tasks and data extraction
• Excellent analytical and problem-solving skills with the ability to break down complex challenges into actionable steps
• Strong written and verbal communication skills, with the ability to effectively articulate technical concepts to both technical and non-technical audiences

Working at Moative

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

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.  

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers. 

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

Job Title : Applied AI Engineer (AI/ML & LLM Deployment)

Experience : 4+ Years

Location : Remote

Job Summary :

We are looking for an Applied AI Engineer with strong expertise in Large Language Models (LLMs) to design, optimize, and deploy advanced AI solutions. The role focuses on LLM integration, fine-tuning, and performance optimization for scalable production use.

Mandatory Skills :

LLM Integration, Prompt Engineering, LangChain/LlamaIndex, Fine-tuning & LoRA, Model Quantization, Local Deployment, Tokenizers, Performance Optimization.

Key Responsibilities :

• Integrate GPT-4, Claude, and open-source LLMs into applications.
• Design and implement prompt engineering for context-specific, tone-appropriate outputs.
• Build AI pipelines using LangChain, LlamaIndex, or similar frameworks.
• Perform fine-tuning and LoRA (Low-Rank Adaptation) to customize models.
• Apply model quantization (GGML, GPTQ, bitsandbytes) for efficient deployment.
• Deploy models with Hugging Face Transformers, vLLM, llama.cpp.
• Optimize tokenization and inference performance for low latency.

Required Skills :

• Strong hands-on experience with LLMs (OpenAI GPT-4, Claude, open-source models).
• Proficiency in Prompt Engineering and tone-specific output design.
• Experience with LangChain, LlamaIndex, or other orchestration frameworks.
• Knowledge of fine-tuning, LoRA techniques, and quantization methods.
• Familiarity with deployment frameworks (Transformers, vLLM, llama.cpp).
• Strong understanding of tokenizers and efficient text preprocessing.
• Ability to optimize models for real-time, low-latency inference.
• Solid programming skills in Python and experience with PyTorch/TensorFlow.

Nice to Have :

• Exposure to MLOps tools (Docker, Kubernetes, CI/CD for AI).
• Experience with evaluation frameworks for LLMs.
• Knowledge of multi-modal models (text, vision, audio).

Location: Flexible - Remote or Based in India

Type: Equity-Based Partnership with Investment

Vesting Schedule: 4 years with a 1-year cliff

IMPORTANT: This is an equity-only position with investment until the business starts generating revenue.

About Dwichakra:

Dwichakra is the ultimate lifestyle app for motorcycle enthusiasts, providing everything riders need to fuel their passion for the open road. Our platform offers new routes, epic ride planning, and a vibrant community connection, along with an e-commerce shop, achievement tracking, expense management, and roadside assistance. Committed to AI-powered personalized route catalogs and instant support, Dwichakra ensures a thrilling journey for every motorcyclist.

Founded in 2016, Dwichakra is transforming the Indian two-wheeler industry by delivering an integrated ecosystem that caters to every aspect of a rider's journey. We are rapidly positioning ourselves as a pioneer in comprehensive services for motorcycle enthusiasts across India.

Time Commitment:

• Hours: 15-25 hours per week
• Flexibility: Can be managed alongside a full-time job
• Working Hours: Flexible

Compensation:

• Equity Partnership: Join a growing startup as a key partner
• Leadership Opportunity: Shape technology as a Director
• Future Revenue Sharing: As the business scales
• Potential Full-Time Role: As the company grows

Role Overview:

We are seeking a driven and visionary Director Of Technology to join Dwichakra as an integral contributor and investor. This role is perfect for anyone with entrepreneurial aspirations and a robust technical background who is ready to invest in our shared mission.

As a technologist and partner, you will provide technical leadership and expertise in developing and launching innovative technology solutions. Your contributions will be crucial in enhancing our product offerings and scaling the company.

Key Responsibilities:

• Technology Strategy: Collaborate with founders to define and execute a technology roadmap that aligns with the company’s vision and growth strategy.
• Financial Investment: Commit to a financial contribution to support technology development, product launch, and scaling efforts.
• Technical Leadership: Lead the design and implementation of the platform, ensuring scalability, security, and performance.
• Product Development: Direct the development of new features and enhancements, leveraging AI and other technologies for a superior user experience.
• Team Building: Recruit, mentor, and manage a talented technology team to foster innovation and excellence.
• Decision-Making: Participate in strategic and operational decisions to drive the company forward.

Shared Responsibilities:

• Operations Oversight: Collaborate with Founders for smooth daily operations in technology.
• Business Development: Partner with technology vendors, service providers, and stakeholders.
• Industry Representation: Represent Dwichakra at key industry events and technology forums.
• Visionary Leadership: Inspire the technology team to drive innovation and stay ahead of market trends.

Qualifications and Skills:

Essential:

• Proven experience in a senior technology leadership role (CTO or equivalent).
• Strong understanding of software development, AI applications, and mobile app technologies.
• An entrepreneurial mindset with a strategic approach to technology and business goals.
• Willingness and ability to make a financial investment in the company.
• Excellent leadership, collaboration, and problem-solving skills.
• Strong communication and interpersonal abilities.

Preferred:

• Experience in startups, product development, or technology commercialization.
• Familiarity with the motorcycle or automobile industry and market trends.
• A network of potential clients, investors, or technology partners.

Equity and Investment:

• Equity Offering: Based on contributions (financial, expertise, and operational involvement), equity shares will be negotiated with a vesting schedule.
• Investment Requirement: A minimum financial contribution of INR 15-25 lakhs to support technology development and product launch.

If you are an innovative and entrepreneurial-minded technology leader passionate about the startup community, we invite you to join us in shaping the future of Dwichakra. Apply today and help us create the ultimate experience for motorcycle riders and indian two-wheeler ecosystem!

Job description

Job Title: AI-Driven Data Science Automation Intern – Machine Learning Research Specialist

Location: Remote (Global)

Compensation: $50 USD per month

Company: Meta2 Labs

www.meta2labs.com

About Meta2 Labs:

Meta2 Labs is a next-gen innovation studio building products, platforms, and experiences at the convergence of AI, Web3, and immersive technologies. We are a lean, mission-driven collective of creators, engineers, designers, and futurists working to shape the internet of tomorrow. We believe the next wave of value will come from decentralized, intelligent, and user-owned digital ecosystems—and we’re building toward that vision.

As we scale our roadmap and ecosystem, we're looking for a driven, aligned, and entrepreneurial AI-Driven Data Science Automation Intern – Machine Learning Research Specialist to join us on this journey.

The Opportunity:

We’re seeking a part-time AI-Driven Data Science Automation Intern – Machine Learning Research Specialist to join Meta2 Labs at a critical early stage. This is a high-impact role designed for someone who shares our vision and wants to actively shape the future of tech. You’ll be an equal voice at the table and help drive the direction of our ventures, partnerships, and product strategies.

Responsibilities:

• Collaborate on the vision, strategy, and execution across Meta2 Labs' portfolio and initiatives.
• Drive innovation in areas such as AI applications, Web3 infrastructure, and experiential product design.
• Contribute to go-to-market strategies, business development, and partnership opportunities.
• Help shape company culture, structure, and team expansion.
• Be a thought partner and problem-solver in all key strategic discussions.
• Lead or support verticals based on your domain expertise (e.g., product, technology, growth, design, etc.).
• Act as a representative and evangelist for Meta2 Labs in public or partner-facing contexts.

Ideal Profile:

• Passion for emerging technologies (AI, Web3, XR, etc.).
• Comfortable operating in ambiguity and working lean.
• Strong strategic thinking, communication, and collaboration skills.
• Open to wearing multiple hats and learning as you build.
• Driven by purpose and eager to gain experience in a cutting-edge tech environment.

Commitment:

• Flexible, part-time involvement.
• Remote-first and async-friendly culture.

Why Join Meta2 Labs:

• Join a purpose-led studio at the frontier of tech innovation.
• Help build impactful ventures with real-world value and long-term potential.
• Shape your own role, focus, and future within a decentralized, founder-friendly structure.
• Be part of a collaborative, intellectually curious, and builder-centric culture.

Job Types: Part-time, Internship

Pay: $50 USD per month

Work Location: Remote

Job Types: Full-time, Part-time, Internship

Contract length: 3 months

Pay: Up to ₹5,000.00 per month

Benefits:

• Flexible schedule
• Health insurance
• Work from home

Work Location: Remote

Proven experience as a Data Scientist or similar role with relevant experience of at least 4 years and total experience 6-8 years.

· Technical expertiseregarding data models, database design development, data mining and segmentation techniques

· Strong knowledge of and experience with reporting packages (Business Objects and likewise), databases, programming in ETL frameworks

· Experience with data movement and management in the Cloud utilizing a combination of Azure or AWS features

· Hands on experience in data visualization tools – Power BI preferred

· Solid understanding of machine learning

· Knowledge of data management and visualization techniques

· A knack for statistical analysis and predictive modeling

· Good knowledge of Python and Matlab

· Experience with SQL and NoSQL databases including ability to write complex queries and procedures

We are looking for skilled AI Engineer for our organization. Please have a look to below details and revert accordingly if we can discuss further

Company Name: TechWize (A Business unit of Mangalam Information Technologies Pvt Ltd.)

Our Accreditations -

• 25 years of industry presence
• Salesforce Partner
• ISO 27001:2019 certified
• Great Place to Work certified
• HIPAA Compliant
• SOC2 Compliant
• NASSCOM Member

Our EVP (Employee Value proposition)

• We are a Great place to work certified company.
• 30 Earned Leaves during calendar Year
• Career progression and continuous Learning & Development (Technical, Soft skills, Communication, Leadership)
• Performance bonus & Loyalty Bonus Benefits
• 5 Days working
• Rewards and Recognition programs
• Standard Salary as per market norms
• Equal career opportunities, No discrimination
• Magnificent & Dynamic Culture
• Festival celebrations & fun events

Explore more : https://techwize.com/, https://mangalaminfotech.com/

Position: AI/Sr. AI Engineer

Job location: Ahmedabad

Experience: 4+ years

Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Key Responsibilities:

• Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
• Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
• Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
• Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
• Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
• Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
• Optimize models for performance, cost-efficiency, and low latency in production.
• Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
• Mentor junior AI engineers and contribute to internal AI best practices and documentation.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
• 4+ years of hands-on experience in AI/ML solution development.
• Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
• Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
• 
  
• Proficient in key AI libraries and frameworks:
• LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP: SpaCy, NLTK.
• Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps: MLflow, FastAPI, Docker, Git
• 
  
• Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
• Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
• Strong communication skills and ability to convert business problems into technical solutions.

About HelloRamp.ai

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

What You’ll Work On

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

Skills & Experience

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

Nice to Have

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

Why Join Us?

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

Remote Work | Type: Freelance / Project-based

Preferred Location: Candidates from Gujarat will be preferred

What are we looking for?

• 3 to 4 years of experience in React Native development
• Minimum 1 year of experience in AI/ML integrations
• Good understanding of mobile app architecture
• Ability to work independently and meet deadlines
• Strong communication and problem-solving skills

What will you do at Digicorp?

• Build and maintain mobile apps using React Native
• Integrate AI-based features like chatbots, recommendations, etc.
• Collaborate with design and backend teams
• Test, debug, and optimize app performance
• Stay updated with latest tools and best practices

Skills Required:

• React Native, Redux, JavaScript/TypeScript
• AI/ML tools or APIs (OpenAI, TensorFlow, etc.)
• REST API integration
• Knowledge of Firebase or AWS (added advantage)

Job Title: Data Science Trainer

Location: Coimbatore

Employment Type: Full-time

Job Summary:

We are seeking an experienced and passionate Data Science Trainer to deliver engaging and practical training sessions to students or professionals. The trainer will design curriculum, prepare materials, and guide learners in developing data science skills through real-world projects and case studies.

Key Responsibilities:

• Develop and deliver comprehensive training programs on Data Science concepts, tools, and techniques.
• Teach topics including but not limited to:
• Data Analysis (NumPy, Pandas, Data Cleaning, EDA)
• Data Visualization (Matplotlib, Seaborn, Plotly)
• Statistics & Probability (Descriptive, Inferential)
• Machine Learning (Supervised & Unsupervised Algorithms, Model Evaluation)
• Deep Learning (Neural Networks, TensorFlow, PyTorch – if applicable)
• Big Data Tools (Hadoop, Spark – if applicable)
• Provide hands-on training with industry-relevant datasets and projects.
• Prepare lesson plans, assignments, assessments, and evaluation reports.
• Mentor learners individually to ensure conceptual clarity and practical application.
• Keep training content updated with the latest industry trends and technologies.
• Collaborate with the academic or corporate training team for curriculum improvement.

Required Skills & Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or related field.
• Proven experience in Data Science, Machine Learning, and Data Analytics.
• Proficiency in Python (NumPy, Pandas, Scikit-learn, etc.) and SQL.
• Strong understanding of statistical concepts and their application in data analysis.
• Experience with visualization tools like Tableau/Power BI is a plus.
• Excellent communication and presentation skills.
• Ability to simplify complex concepts for learners with varied backgrounds.
• Prior teaching/training experience preferred.

WHO WE ARE:

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge,Hamilton Lane, Franklin T empleton, Motive Partners and a who’s who of the financial service industry.

We are creating engaging wealth experiences to better financial lives through AI and investment intelligence-powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.

In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and

planning divisions.

OUR VALUES: Go with your GUT

● Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos

aside to find our genius zones. With self-awareness and integrity we strive to be the best we can

possibly be. No excuses.

●Understanding through Listening and Speaking the Truth. We value transparency. We communicate

with radical candor, authenticity and precision to create a shared understanding. We challenge, but

once a decision is made, commit fully.

●I Win for T eamwin. We believe in staying within our genius zones to succeed and we take full

ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win

together.

Key responsibilities:

● Prototype Development: Build and validate prototypes by designing datasets and performing fine-tuning to demonstrate model feasibility and effectiveness.

● Model Fine-Tuning: Lead the fine-tuning process for large language models, leveraging both open-source solutions (e.g., LORA, LLAMA 2/3) and proprietary models like GPT 3.5/4.0 to address specific business needs.

● Retrieval-Augmented Generation (RAG): Design and optimize advanced RAG systems,implementing efficient methods for chunking, indexing, and managing complex document formats, such as PDFs.

● Agentic Workflows: Develop and apply agentic workflows to create advanced conversation agents tailored for various use cases.

● Prompt Engineering: Craft effective prompts to enhance the performance of large language models, such as GPT-4 and Cloud 3, ensuring solutions align with business objectives.

● Inference Frameworks: Utilize inference frameworks like VAM and advanced pipelines to improve scalability and streamline the deployment of machine learning models.

● ML Model Deployment: Lead the deployment and productionization of machine learning models, collaborating closely with software engineers to ensure seamless integration into products.

● Conversational Experiences: Work with cross-functional teams, including design and product, to craft engaging and personalized conversational AI experiences for end-users.

● Independent Execution: Demonstrate the ability to independently manage projects, deliver features, and achieve outcomes in a dynamic, fast-paced startup environment.

● Data Personalization: Leverage and analyze existing datasets to enhance model performance and create tailored user experiences, fine-tuning models to align with unique business cases.

● Startup Mindset: T ake initiative in setting up workflows, tools, and systems from scratch, showcasing flexibility and adaptability in a growing organization.

● Leadership and Collaboration: Act as a leader and independent contributor, effectively collaborating across diverse teams while managing evolving project priorities.

● Research and Innovation: Drive innovative research aligned with business goals, exploring advancements in Natural Language Understanding (NLU) and conversational AI applications.

● Knowledge Sharing: Publish and present groundbreaking research in top-tier journals and conferences, contributing to the broader scientific community and enhancing organizational credibility.

Requirements:

● 8+ years of experience

● Experience working with LLMs and Generative AI

● Experience building conversational bots

● Experience 2+ Years fine tuning models

● Experience using RAG base approaches

● Understanding of financial concepts and investing would be a big plus but not required

Job Requirement :

• 3-5 Years of experience in Data Science
• Strong expertise in statistical modeling, machine learning, deep learning, data warehousing, ETL, and reporting tools.
• Bachelors/ Masters in Data Science, Statistics, Computer Science, Business Intelligence,
• Experience with relevant programming languages and tools such as Python, R, SQL, Spark, Tableau, Power BI.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
• Ability to think strategically and translate data insights into actionable business recommendations.
• Excellent problem-solving and analytical skills
• Adaptability and openness towards changing environment and nature of work
• This is a startup environment with evolving systems and procedures, the ideal candidate will be comfortable working in a fast-paced, dynamic environment and will have a strong desire to make a significant impact on the business.

Job Roles & Responsibilities:

• Conduct in-depth analysis of large-scale datasets to uncover insights and trends.
• Build and deploy predictive and prescriptive machine learning models for various applications.
• Design and execute A/B tests to evaluate the effectiveness of different strategies.
• Collaborate with product managers, engineers, and other stakeholders to drive data-driven decision-making.
• Stay up-to-date with the latest advancements in data science and machine learning.

LLM Engineer 

3-6 Years

Bengaluru/Mumbai/Remote

WHO WE ARE: 

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence-powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes. 

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes. In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions. 

OUR VALUES: Go with your GUT 

● Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses. 

●Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully. 

●I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.

Key responsibilities: 

• Work closely with the design and product teams to help craft conversational experiences for our users 
• Ability to work independently to deliver features that the team design 
• You need to own outcomes without someone watching over you 
• Understand the data we have and identify how we could leverage it to create more personalised experiences for our users 
• Fine tune models with data specific to our use case 
• Use different RAG approaches to augment data that the LLM already has ● Ability to be a leader and independent contributor (we’re a startup so be ready to do whatever it takes) 
• Setup new workflow, systems and tool from the ground up (you will have support, but we’re building things from scratch)
• 
  

Requirements: 

• 3+ years of experience
• Experience working with LLMs and Generative AI 
• Experience building conversational bots 
• Experience fine tuning models 
• Experience using RAG base approaches 

Understanding of financial concepts and investing would be a big plus but not required

Request for Proposal (RFP): AI Receptionist for Helvetica Incoming Broker Calls

Company Overview

Helvetica Group is a direct commercial real estate lender and investment bank, specializing in providing alternative financing solutions for complex real estate transactions. We focus on fast, innovative, and common-sense underwriting to serve brokers, investors, and borrowers nationwide.

Website: helveticagroup.com

Project Overview

We are seeking an experienced AI Engineer to design and implement an AI Receptionist using Retell AI and Make (formerly Integromat). This AI Receptionist will handle incoming broker calls, collect loan request details, integrate with Salesforce, and automate follow-up communications.

Scope of Work

The solution should:

1. Receive Incoming Calls

• Integrate with our phone system and Retell AI to answer broker calls professionally.
• Detect caller intent and initiate a structured loan intake conversation.

1. Prompt Loan Request Details

• Use natural language conversation to gather key loan scenario data:
• Borrower and broker information
• Property type, location, value
• Loan amount requested, purpose, and timeline
• Any special circumstances (e.g., foreclosure bailout, BK buyout, etc.)

1. Data Handling & Automation

• Send collected call details to Salesforce as a new Lead.
• Email a summary of the loan request to our broker group.
• Send an automated confirmation email to the caller.
• Send an SMS confirmation text to the caller with a thank-you and next steps.

1. Integration Requirements

• Use Retell AI for call handling and voice interactions.
• Use Make for workflow automation (Salesforce, email, SMS).
• Ensure all data flows securely and complies with applicable regulations.

Deliverables

• Fully functional AI Receptionist integrated with our systems
• Retell AI call flow design and scripts tailored to Helvetica's lending guidelines
• Make (Integromat) scenarios for:
• Salesforce lead creation
• Email notifications (internal and external)
• SMS confirmation to caller
• Documentation for setup, maintenance, and future scaling
• Optional: Dashboard for call analytics and performance monitoring

Skills Required

• Experience with Retell AI (or similar conversational AI voice platforms)
• Expertise in Make (Integromat) or similar workflow automation tools
• Strong knowledge of Salesforce API integrations
• Experience with Twilio or other SMS/email APIs is a plus
• Understanding of secure data handling and compliance (preferred)

Proposal Requirements

Please include in your proposal:

• Relevant experience with Retell AI, Make, and Salesforce integrations
• Portfolio of similar AI automation projects (voice + CRM)
• Estimated timeline for project completion
• Proposed budget and pricing structure
• Any additional recommendations to enhance this solution

Timeline

• Proposal Submission Deadline: [Insert Date]
• Project Kickoff: [Insert Date]
• Expected Completion: Within 4-6 weeks from kickoff

Budget

We are open to proposals with fixed price or hourly rates. Please provide a clear breakdown of your pricing.

How to Apply

Submit your proposal directly through Upwork, including all requested details.

Would you also like me to include:

• Sample call flow conversation script (to attract engineers who understand the flow)?
• Technical architecture diagram (for clarity on integrations)?
• I can draft both to include in your posting. Shall I proceed?

Job Title: Software Engineer Consultant/Expert 34192 

Location: Chennai

Work Type: Onsite

Notice Period: Immediate Joiners only or serving candidates upto 30 days.

Position Description:

• Candidate with strong Python experience.
• Full Stack Development in GCP End to End Deployment/ ML Ops Software Engineer with hands-on n both front end, back end and ML Ops
• This is a Tech Anchor role.

Experience Required:

• 7 Plus Years

About Data Axle:

Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 50 years in the USA. Data Axle now as an established strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases.

Data Axle Pune is pleased to have achieved certification as a Great Place to Work!

Roles & Responsibilities:

We are looking for a Senior Data Scientist to join the Data Science Client Services team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects.

We are looking for a Senior Data Scientist who will be responsible for:

1. Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture
2. Design or enhance ML workflows for data ingestion, model design, model inference and scoring
3. Oversight on team project execution and delivery
4. Establish peer review guidelines for high quality coding to help develop junior team members’ skill set growth, cross-training, and team efficiencies
5. Visualize and publish model performance results and insights to internal and external audiences

Qualifications:

1. Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)
2. Minimum of 5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred)
3. Proven ability to manage the output of a small team in a fast-paced environment and to lead by example in the fulfilment of client requests
4. Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (ML Theory + Best Practices, Feature Engineering and Selection, Supervised and Unsupervised ML, A/B Testing, etc.)
5. Proficiency in Python and SQL required; PySpark/Spark experience a plus
6. Ability to conduct a productive peer review and proper code structure in Github
7. Proven experience developing, testing, and deploying various ML algorithms (neural networks, XGBoost, Bayes, and the like)
8. Working knowledge of modern CI/CD methods This position description is intended to describe the duties most frequently performed by an individual in this position.

It is not intended to be a complete list of assigned duties but to describe a position level.

Research Intern 

Position Overview

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

Key Responsibilities

Model Evaluation & Benchmarking

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

Competitive Analysis

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

Research & Innovation

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

Model Development & Training

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

Documentation & Reporting

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

Required Qualifications

Education & Experience

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

Technical Skills

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

Preferred Qualifications

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

Skills & Competencies

Technical Competencies

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

Soft Skills

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

What You'll Gain

Learning Opportunities

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

Professional Development

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

We at CLOUDSUFI are seeking a skilled and motivated AI/ML Engineer with a background in Natural Language Processing (NLP), speech technologies, and generative AI. The ideal candidate will have hands-on experience building AI projects from conception to deployment, including fine-tuning large language models (LLMs), developing conversational agents, and implementing machine learning pipelines. You will play a key role in building and enhancing our AI-powered products and services.

Key Responsibilities

• Design, develop, and deploy advanced conversational AI systems, including customer onboarding agents and support chatbots for platforms like WhatsApp.

• Process, transcribe, and diarize audio conversations to create high-quality datasets for fine-tuning large language models (LLMs).

• Develop and maintain robust, scalable infrastructure for AI model serving, utilizing technologies like FastAPI, Docker, and cloud platforms (e.g., Google Cloud Platform).

• Integrate and leverage knowledge graphs and contextual information systems to create more personalized, empathetic, and goal-oriented dialogues.

• Engineer and implement retrieval-augmented generation (RAG) systems to enable natural language querying of internal company documents, optimizing for efficiency and informativeness.

• Fine-tune and deploy generative models like Stable Diffusion for custom asset creation, with a focus on improving precision and reducing generative artifacts (FID score).

• Collaborate with cross-functional teams, including product managers and designers, to build user-friendly interfaces and tools that enhance productivity and user experience.

• Contribute to the research and publication of novel AI systems and models.

Qualifications and Skills

• Education: Bachelor of Engineering (B.E.) in Computer Science or a related field.

• Experience: 3+ years of professional experience as a Machine Learning Engineer or in a similar role.

• Programming Languages: Expertise in Python and a strong command of SQL, and JavaScript.

• Machine Learning Libraries: Hands-on experience with PyTorch, Scikit-learn, Hugging Face Transformers, Diffusers, Librosa, LangGraph, and the OpenAI API.

• Software and Tools: Proficiency with Docker and various databases including PostgreSQL, MongoDB, Redis, and Elasticsearch.

• Core Competencies:

o Experience developing end-to-end AI pipelines, from data processing and model training to API deployment and integration.

o Familiarity with MLOps principles and tools for building and maintaining production-level machine learning systems.

o A portfolio of projects, publications, or open-source contributions in the fields of NLP, Computer Vision, or Speech Analysis is a plus.

• Excellent problem-solving skills and the ability to think strategically to deliver optimized and efficient solutions. 

About the Role

We are seeking an innovative Data Scientist specializing in Natural Language Processing (NLP) to join our technology team in Bangalore. The ideal candidate will harness the power of language models and document extraction techniques to transform legal information into accessible, actionable insights for our clients.

Responsibilities

• Develop and implement NLP solutions to automate legal document analysis and extraction
• Create and optimize prompt engineering strategies for large language models
• Design search functionality leveraging semantic understanding of legal documents
• Build document extraction pipelines to process unstructured legal text data
• Develop data visualizations using PowerBI and Tableau to communicate insights
• Collaborate with product and legal teams to enhance our tech-enabled services
• Continuously improve model performance and user experience

Requirements

• Bachelor's degree in relevant field
• 1-5 years of professional experience in data science, with focus on NLP applications
• Demonstrated experience working with LLM APIs (e.g., OpenAI, Anthropic, )
• Proficiency in prompt engineering and optimization techniques
• Experience with document extraction and information retrieval systems
• Strong skills in data visualization tools, particularly PowerBI and Tableau
• Excellent programming skills in Python and familiarity with NLP libraries
• Strong understanding of legal terminology and document structures (preferred)
• Excellent communication skills in English

What We Offer

• Competitive salary and benefits package
• Opportunity to work at India's largest legal tech company
• Professional growth in the fast-evolving legal technology sector
• Collaborative work environment with industry experts
• Modern office located in Bangalore
• Flexible work arrangements

Qualified candidates are encouraged to apply with a resume highlighting relevant experience with NLP, prompt engineering, and data visualization tools.

Location: Bangalore, India

Senior Machine Learning Engineer

📍 Location: Remote

💼 Type: Full-Time

💰 Salary: $800 - $1,000 USD / month

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

About Us

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

Position Overview

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

Key Responsibilities

📌 Design and Deliver Core Detection Pipeline

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

📌 Model Strategy, Development, and Optimization

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

📌 Latency-Conscious Production Readiness

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

📌 Evaluation Framework and Continuous Testing

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

📌 Deployment Engineering and API Integration

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

Required Skills & Qualifications

🎯 Technical Skills:

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

Audio Libraries: Librosa, Torchaudio, FFmpeg

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

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

Optimization: Quantization, pruning, GPU acceleration

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

🎯 Preferred Experience:

Prior work on audio deepfake detection or telephony speech processing

Experience with real-time ML model deployment

Understanding of adversarial robustness and domain adaptation

Familiarity with call center environments or telecom-grade constraints

Compensation & Career Path:

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

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

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

Why Join Momenta?

Solve a global security crisis with cutting-edge AI.

Own a deliverable that will ship into production at scale.

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

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

🚀 Apply now and help shape the future of voice security

Job Title : AI Architect

Location : Pune (On-site | 3 Days WFO)

Experience : 6+ Years

Shift : US or flexible shifts

Job Summary :

We are looking for an experienced AI Architect to design and deploy AI/ML solutions that align with business goals.

The role involves leading end-to-end architecture, model development, deployment, and integration using modern AI/ML tools and cloud platforms (AWS/Azure/GCP).

Key Responsibilities :

• Define AI strategy and identify business use cases
• Design scalable AI/ML architectures
• Collaborate on data preparation, model development & deployment
• Ensure data quality, governance, and ethical AI practices
• Integrate AI into existing systems and monitor performance

Must-Have Skills :

• Machine Learning, Deep Learning, NLP, Computer Vision
• Data Engineering, Model Deployment (CI/CD, MLOps)
• Python Programming, Cloud (AWS/Azure/GCP)
• Distributed Systems, Data Governance
• Strong communication & stakeholder collaboration

Good to Have :

• AI certifications (Azure/GCP/AWS)
• Experience in big data and analytics

3+ years of experience in cybersecurity, with a focus on application and cloud security.

· Proficiency in security tools such as Burp Suite, Metasploit, Nessus, OWASP ZAP, and SonarQube.

· Familiarity with data privacy regulations (GDPR, CCPA) and best practices.

· Basic knowledge of AI/ML security frameworks and tools.

Remote Job Opportunity

Job Title: Data Scientist

Contract Duration: 6 months+

Location: offshore India

Work Time: 3 pm to 12 am

Must have 4+ Years of relevant experience.

Job Summary:

We are seeking an AI Data Scientist with a strong foundation in machine learning, deep learning, and statistical modeling to design, develop, and deploy cutting-edge AI solutions.

The ideal candidate will have expertise in building and optimizing AI models, with a deep understanding of both statistical theory and modern AI techniques. You will work on high-impact projects, from prototyping to production, collaborating with engineers, researchers, and business stakeholders to solve complex problems using AI.

Key Responsibilities:

Research, design, and implement machine learning and deep learning models for predictive and generative AI applications.

Apply advanced statistical methods to improve model robustness and interpretability.

Optimize model performance through hyperparameter tuning, feature engineering, and ensemble techniques.

Perform large-scale data analysis to identify patterns, biases, and opportunities for AI-driven automation.

Work closely with ML engineers to validate, train, and deploy the models.

Stay updated with the latest research and developments in AI and machine learning to ensure innovative and cutting-edge solutions.

Qualifications & Skills:

Education: PhD or Master's degree in Statistics, Mathematics, Computer Science, or a related field.

Experience:

4+ years of experience in machine learning and deep learning, with expertise in algorithm development and optimization.

Proficiency in SQL, Python and visualization tools ( Power BI).

Experience in developing mathematical models for business applications, preferably in finance, trading, image-based AI, biomedical modeling, or recommender systems industries

Strong communication skills to interact effectively with both technical and non-technical stakeholders.

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

Software Development Intern

About This Role

We're building next-generation browser agents that combine accuracy, security, and advanced task learning capabilities. We're looking for self-driven, independent interns who thrive on exploration and problem-solving to help us push the boundaries of what's possible with intelligent web automation.

This isn't a traditional learning internship—we want builders who have already proven they can ship projects and tackle challenges autonomously. You'll work across our full tech stack, from backend APIs to frontend interfaces, with access to cutting-edge AI-powered development tools while contributing to the future of browser automation.

What You'll Do

• Develop intelligent browser agents with advanced task learning and execution capabilities
• Build secure automation systems that can navigate complex web environments accurately
• Create robust AI-powered workflows using LangChain and modern ML frameworks
• Design and implement security measures for safe browser automation
• Create comprehensive test environments for agent validation and performance testing
• Debug and fix application bugs across the full stack to ensure reliable agent operation
• Solve complex problems independently using AI code assistants (Cursor, v0.dev, etc.)
• Explore and experiment with new technologies in AI agent development
• Own projects end-to-end from conception to deployment
• Work across the full stack as needed—no rigid role boundaries

Our Tech Stack

Backend:

• Python with FastAPI
• LangChain for AI/ML workflows
• Google Cloud Platform (GCP) services
• Supabase for database and authentication

Frontend:

• JavaScript/TypeScript
• React for web interfaces
• Electron for desktop applications

Development Tools:

• Cursor IDE with AI assistance
• v0.dev for rapid prototyping
• Modern DevOps and CI/CD pipelines

Flexibility:

• Choose your own tech stack when needed - We're open to new tools and frameworks that solve problems better
• Experiment with cutting-edge technologies - If you find a better solution, we're all ears

What We're Looking For

Required Experience

• Proven project portfolio - Show us what you've built, not what you've learned
• Full-stack development experience with Python and JavaScript
• Independent problem-solving skills - You research, experiment, and find solutions
• Experience with modern frameworks (FastAPI, React, or similar)
• Cloud platform familiarity (GCP, AWS, or Azure)

Ideal Candidates Have

• Built and deployed real applications (personal projects, hackathons, open source)
• Experience with browser automation (Selenium, Playwright, Puppeteer, or similar)
• AI/ML model integration experience (LangChain, OpenAI APIs, agent frameworks)
• Security-focused development understanding of web security principles
• Task learning and reinforcement learning familiarity
• Testing and debugging experience with automated systems and complex applications
• Test environment setup and CI/CD pipeline experience
• Database design and optimization experience
• Desktop application development (Electron or similar)
• DevOps and infrastructure automation knowledge

What We Offer

• Work on cutting-edge browser agent technology - Shape the future of intelligent web automation
• Cutting-edge AI development tools - Full access to Cursor, v0.dev, and other AI assistants
• Technology freedom - Choose the best tools for the job, not just what's already in the stack
• Real project ownership - Your work will directly impact our next-gen browser agents
• Flexible exploration time - Dedicate time to experiment with new AI/ML approaches
• Mentorship from experienced developers - When you need it, not constant hand-holding
• Remote-first environment with flexible working hours
• Competitive internship compensation

What Makes You Stand Out

• Self-starter mentality - You don't wait for detailed instructions
• Curiosity-driven exploration - You love diving into new technologies
• Problem-solving resilience - You debug, research, and iterate until it works
• Quality-focused delivery - You ship polished, well-tested code
• Open source contributions or active GitHub presence
• Technology adaptability - You can evaluate and adopt new tools when they solve problems better

Application Requirements

1. Portfolio/GitHub - Show us your best projects with live demos
2. Brief cover letter - Tell us about a challenging problem you solved independently
3. Technical challenge - We'll provide a small project to assess your problem-solving approach

Not a Good Fit If You

• Need constant guidance and structured learning paths
• Prefer working on assigned tasks without creative input
• Haven't built substantial projects outside of coursework
• Are looking primarily for resume building rather than real contribution

Ready to build something amazing? Send us your portfolio and let's see what you can create with unlimited access to AI development tools and real-world challenges.

We're an equal opportunity employer committed to diversity and inclusion.

We are seeking a detail-oriented and analytical Data Analyst to collect, process, and analyze data to help drive informed business decisions. The ideal candidate will have strong technical skills, business acumen, and the ability to communicate insights effectively.

Job Title: Generative AI Engineer

Experience: 6–9 years

Job description:

We are seeking a Generative AI Engineer with 6–9 years of experience who can independently

explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and

emerging Gen AI techniques. This role combines deep technical hands-on development with

non-technical influence and presentation skills.

You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP

and A2A) and deliver fully functional prototypes that push the boundaries of enterprise AI — not

just in Jupyter notebooks, but as real applications ready for production exploration.

Key Responsibilities:

·        LLM Applications & Agentic Frameworks

·        Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral,

·        Gemini, or LLaMA on AWS, Databricks, Azure or GCP.

·        Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai,or custom frameworks.

·        Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports.

·        Rapidly explore and showcase the art of the possible through functional, demonstrable POCs

·        Advanced AI Experimentation

·        Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use.

·        Create and leverage synthetic datasets to simulate edge cases and scale training.

·        Evaluate agents using custom agent evaluation frameworks (success rates, latency,reliability)

·        Evaluate emerging agent communication standards — A2A (Agent-to-Agent) and MCP (Model Context Protocol), Business Alignment & Cross-Team Collaboration

·        Translate ambiguous requirements into structured, AI-enabled solutions.

·        Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders

Good-To-Have:

·        Microsoft Copilot Studio

·        DevRev

·        Codium

·        Cursor

·        Atlassian AI

·        Databricks Mosaic AI

Qualifications:

·        6–9 years of experience in software development or AI/ML engineering

·        At least 3 years working with LLMs, GenAI applications, or agentic frameworks.

·        Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and

·        model orchestration

·        Proven track record of developing functional AI prototypes beyond notebooks.

·        Strong presentation and storytelling skills to clearly convey GenAI concepts and value.

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

Job Description : Quantitative R&D Engineer

As a Quantitative R&D Engineer, you’ll explore data and design logic that becomes live trading strategies. You’ll bridge the gap between raw research and deployed, autonomous capital systems.

What You’ll Work On

• Analyze on-chain and market data to identify inefficiencies and behavioral patterns.
• Develop and prototype systematic trading strategies using statistical and ML-based techniques.
• Contribute to signal research, backtesting infrastructure, and strategy evaluation frameworks.
• Monitor and interpret DeFi protocol mechanics (AMMs, perps, lending markets) for alpha generation.
• Collaborate with engineers to turn research into production-grade, automated trading systems.

Ideal Traits

• Strong in data structures, algorithms, and core CS fundamentals.
• Proficiency in any programming language
• Understanding of probability, statistics, or ML concepts.
• Self-driven and comfortable with ambiguity, iteration, and fast learning cycles.
• Strong interest in markets, trading, or algorithmic systems.

Bonus Points For

• Experience with backtesting or feature engineering.
• Exposure to crypto primitives (AMMs, perps, mempools, etc.)
• Projects involving alpha signals, strategy testing, or DeFi bots.
• Participation in quant contests, hackathons, or open-source work.

What You’ll Gain:

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

What We Value:

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

Compensation:

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

A Concise Glimpse into the Role

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

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

Are you ready to redefine the future?

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

Your Time Will Be Invested In

·      AI/ML Model Innovation and Research

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

 What You'll Own

Pioneering AI/ML Model Innovation

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

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

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

Data Engineering and Advanced Development

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

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

Trailblazing Research and Strategic Collaboration

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

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

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

What We Want You to Have

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

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

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

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

·      Basic understanding of Deep Learning Techniques.

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

·      Knowledge of using AI tools like VS Copilot.

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

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

·      Understanding JavaScript, TypeScript with React and Tailwind.

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

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

·      Excellent communication skills and a strong willingness to learn.

Nice to Have

·      Prior project or coursework experience in AI/ML.

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

·      Experience with containerization and deployment tools.

·      Proficiency in SQL & NoSQL databases.

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

Soft Skills

·      Strong problem-solving and analytical capabilities.

·      Excellent teamwork and interpersonal communication.

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

Lead Data Scientist role

Work Location- Remote

Exp-7+ Years Relevant

Notice Period- Immediate

Job Overview:

We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI) and Deep Learning (DL).

Mandatory Skills:

• 5+ years of work experience in writing code in Python

• Experience in using various Python libraries like Pandas, NumPy

• Experience in writing good quality code in Python and code refactoring techniques (e.g.,IDE’s –  PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black)

• Strong experience on AI assisted coding experience.

• AI assisted coding for existing IDE's like vscode.

• Experimented multiple AI assisted tools and done research around it.

• Deep understanding of data structures, algorithms, and excellent problem-solving skills

• Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation

 • Machine Learning libraries like Scikit-learn, XGBoost

 • Experience in CV, NLP or Time Series.

• Experience in building models for ML tasks (Regression, Classification)

• Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings

• Experience of model training and serving on any of the cloud environments (AWS, GCP,Azure)

• Experience in distributed training of models on Nvidia GPU’s

• Familiarity in Dockerizing the model and create model end points (Rest or gRPC)

• Strong working knowledge of source code control tools such as Git, Bitbucket

• Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous

• Strong drive to learn and master new technologies and techniques

• Strong communication and collaboration skills

• Good attitude and self-motivated

Mandatory Skills- *Strong Python coding, Machine Learning, Software Engineering, Deep Learning, Generative AI, LLM, AI Assisted coding tools.*

We are looking for a dynamic and skilled Business Analyst Trainer with 2 to 5 years of hands-on industry and/or teaching experience. The ideal candidate should be able to simplify complex data concepts, mentor aspiring professionals, and deliver effective training programs in Business Analyst, Power BI, Tableau, Machine learning

We are seeking a passionate and knowledgeable Data Science and Data Analyst Trainer to deliver engaging and industry-relevant training programs. The trainer will be responsible for teaching core concepts in data analytics, machine learning, data visualization, and related tools and technologies. The ideal candidate will have hands-on experience in the data domain with 2-5 years and a flair for teaching and mentoring students or working professionals.

We are looking for a dynamic and skilled Data Science and Data Analyst Trainer with 2 to 5 years of hands-on industry and/or teaching experience. The ideal candidate should be able to simplify complex data concepts, mentor aspiring professionals, and deliver effective training programs in data analytics, data science, and business intelligence tools.

We are seeking a dynamic and experienced Data Analytics and Data Science Trainer to deliver high-quality training sessions, mentor learners, and design engaging course content. The ideal candidate will have a strong foundation in statistics, programming, and data visualization tools, and should be passionate about teaching and guiding aspiring professionals.