35,373 Senior Machine Learning Engineer Mlops Cv jobs in India

About Tavant:

With 25+ years of experience building innovative digital products and solutions, Tavant provides impactful results to its customers. It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries such as Consumer Lending, Manufacturing, Agtech, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific. Powered by Artificial Intelligence and Machine Learning algorithms, we help our customers improve their operational efficiency, productivity, speed, and accuracy. Our suite of products and solutions are routinely rated high by the industry.

Ours is a challenging workplace where teams are diverse, competitive, and continually searching for tomorrow's technology and brilliant minds to create it. And we don’t focus just on what we do – we also care how we do it. So, bring your talent and ambition to make a difference. We’ll create a world of opportunities for you.

Job Title – AI Architect

Work Experience – 8 to 14 Years

Work Location – Noida/Bangalore/Pune/Hyderabad/Kolkata

Key Responsibilities

• Define and Build Gen AI-driven SDLC: Design and implement a new framework for software development that embeds Gen AI at its core, from requirements gathering and design to coding, testing, and deployment.
• Team Enablement and Collaboration: Work closely with various project teams to identify opportunities for using Gen AI in their daily workflows. Provide guidance, training, and support to help them boost productivity and efficiency.
• Develop Custom AI Tooling: Build and deploy bespoke AI solutions to automate SDLC tasks. This includes creating tools using Large Language Models (LLMs), implementing Retrieval-Augmented Generation (RAG) architectures for knowledge management, and developing intelligent AI agents to handle complex processes.
• Fine-Tune Open Source LLMs: Customize and fine-tune open-source LLMs on our internal codebases and data to create specialized models that understand our unique context and requirements. (Good to have)
• Drive Innovation: Stay at the forefront of AI advancements, continuously evaluating new tools and techniques to further enhance our development processes and solve project-specific challenges.

Skills and Qualifications:-

• 8-14 years of experience in software development, with proven experience as a Technical Lead/Architect or a similar senior engineering role.
• Demonstrated experience in designing, architecting, and building scalable, large-scale enterprise applications from the ground up.
• Strong hands-on experience with Generative AI technologies, including LLMs (e.g., GPT series, Claude, Llama, Mistral), vector databases, and embedding models.
• Demonstrated expertise in building and implementing RAG architectures.
• Practical experience in fine-tuning open-source LLMs for specific tasks. (Good to have)
• Proficiency in developing AI agents and automation workflows using frameworks like LangChain or similar.
• Deep understanding of the entire SDLC and agile methodologies.
• Excellent problem-solving skills and the ability to translate complex business needs into technical solutions.
• Strong communication skills to effectively collaborate with diverse technical teams.

About the Company

ZeTheta Algorithms Private Limited ( is a FinTech start-up which has been recently set up and is developing innovative AI tools.

About the Role

We are seeking a talented and motivated student intern to develop AI models from scratch within a 2 month timeframe. This is an extraordinary opportunity for a self-driven, technically skilled student to build a complete enterprise-grade system that incorporates cutting-edge AI technologies including deep learning.

Responsibilities

• Design and implement the complete AI Models following provided specifications
• Develop both frontend and backend components of the platform
• Create and integrate AI modules
• Design and optimize database schema and queries
• Ensure system security, especially for sensitive identity verification data
• Deploy the solution using zero-cost cloud services
• Document code, APIs, and system architecture
• Complete the entire project within the 2 month timeline

Qualifications

A student who is currently pursuing or recently completed a degree in Computer Science, AI/ML, or related field.

Required Skills

• Strong programming skills in Python and JavaScript
• Experience with React.js for frontend development
• Knowledge of FastAPI or similar Python web frameworks
• Familiarity with database design and SQL (particularly PostgreSQL)
• Understanding of basic machine learning concepts
• Self-motivated with ability to work independently

Preferred Skills

• Sound knowledge of AI/ML libraries (TensorFlow, Keras, HuggingFace Transformers)
• Familiarity with computer vision techniques using OpenCV
• Knowledge of natural language processing concepts
• Sound knowledge of facial recognition or emotion detection systems
• Understanding of identity verification methodologies
• Docker containerization experience
• Prior work with cloud deployment (AWS)

Who Should Apply?

• Student or fresh graduate from any academic discipline.
• Strong analytical and problem-solving skills.
• Basic knowledge of Microsoft Office.
• Willingness to self-learn and work in a fast-paced environment.

Internship Details

• Duration: Self paced, options for 1,2,3,4 or 6 months.
• Type: Unpaid

About the Role

We’re looking for a passionate and experienced AI Faculty Member to join our growing EdTech team. This is an exciting opportunity for professionals who enjoy teaching, mentoring, and making complex AI concepts accessible and relevant to business contexts. You’ll deliver engaging live online sessions on weekends, helping adult learners and working professionals master the real-world application of Data Science and Artificial Intelligence.

What You’ll Do

• Deliver engaging live online classes (via Zoom) on core AI and Data Science topics, including but not limited to:
• Data Analytics & Visualization
• Machine Learning & Deep Learning
• Generative AI & Agentic AI Systems
• Natural Language Processing (NLP)
• Computer Vision
• AI Strategy & Business Use-Cases
• AI Ethics & Responsible AI
• AI in Digital Transformation
• Data-Driven Decision Making
• Design and teach lessons that are practical, application-focused, and tailored to business relevance.
• Incorporate real-world case studies and examples to demonstrate the integration of AI into various industries and functions.
• Encourage active learning through discussions, hands-on activities, and project work.
• Mentor learners , supporting them with project guidance, assignment feedback, and doubt-clearing sessions.
• Collaborate with academic and operations teams to ensure smooth delivery and an excellent learner experience.
• Stay current with AI trends , tools, and industry applications to bring the latest insights to your teaching.

What You Bring

• 7+ years of experience in the AI, Machine Learning, or Data Science space (industry or academic).
• 2+ years of experience teaching online , preferably to adult learners or business professionals.
• Strong grasp of both technical depth and business application —you can teach concepts like neural networks and also explain how AI drives business transformation.
• Excellent communication and storytelling skills , with the ability to simplify complex topics.
• Hands-on experience with tools such as Python, Jupyter Notebooks, TensorFlow or PyTorch, Tableau/Power BI, and Git.
• Understanding of AI’s strategic role in automation, decision-making, and innovation across industries.
• Genuine passion for teaching , mentoring, and creating meaningful learning experiences.

Bonus Points For

• Experience mentoring capstone or industry projects .
• Exposure to Generative AI, Agentic AI frameworks , or LLM-based systems .
• A portfolio of past workshops, content, or instructional material .
• Experience in curriculum design and learner assessments .

What We Offer

• A flexible remote opportunity to share your expertise with a community of motivated learners.
• Competitive compensation , aligned with experience and session hours.
• Opportunity to co-create and shape curriculum in a fast-evolving AI learning space.
• Be part of a forward-thinking, impact-driven EdTech ecosystem .

Job Description

• Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular.
• Implementing and fine tuning the AI-generated text prompts using LLMs (eg:-GPT4)
• Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc.
• Ability to understand business requirements.
• Usecase derivation and solution creation from structured/unstructured data
• Storytelling, Business Communication and Documentation
• Programming Skills – Python, Scikit-Learn, TensorFlow, PyTorch, Keras
• Exploratory Data Analysis
• Machine Learning and Deep Learning Algorithms
• Model building, Hyperparameter tuning, and Model performance metrics
• MLOps, Data Pipeline, Data engineering
• Statistics Knowledge (Probability Distributions, Hypothesis Testing)
• Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP).
• ML services from Clouds such as AWS, GCP, Azure and Databricks
• Optional - Databricks, Big Data -Basic knowledge of Spark, Hive

Roles & Responsibilities

Acquire skills required for building Machine learning models and deploy them for production.

Feature Engineering, EDA, Pipeline creation, Model training and hyperparameter tuning with structured and unstructed data sets.skills

Develop Cloud based applictions including LLM/GenAI and deploy them into production.

Do good while doing well!

Use your AI skills to help save lives!

Join a global team that has been doing this for 27 years for 8 billion people!

The Healthcare Innovation and Technology Lab (HITLAB) finds, tests, promotes, connects, and teaches digital technologies for patients, physicians and life sciences professionals!

Job Summary:

We are seeking a skilled and an experienced AI Software Engineer to join our team. The successful candidate will be responsible for developing and maintaining cloud and mobile applications, ensuring high performance and responsiveness.

Summary description of job:

The Engineer will collaborate with our development team to design and implement innovative software solutions. They will be involved in all aspects of the software development lifecycle, from concept to deployment.

Responsibilities:

• Develop and maintain web and mobile applications using programming languages such as Python, C++, JavaScript, TensorFlow, and PyTorch.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Participate in code reviews to ensure code quality and adherence to coding standards.
• Troubleshoot and debug applications to resolve issues and improve performance.
• Stay up-to-date with emerging technologies and best practices in web and mobile development.
• Other duties as assigned

Education and Experience:

1. Bachelor's degree in computer science or a related field.
2. Minimum of 1 year of experience AI application development.
3. Proficiency in programming languages such as Python, C++, JavaScript, TensorFlow.
4. Experience with frameworks such as PyTorch, Keras, and scikit-learn.
5. Familiarity with back-end development frameworks such as Node.js or Django is a plus.

Required Skills/Abilities:

• Strong organizational and time management skills.
• Excellent written and verbal communication skills.
• Excellent interpersonal and customer service skills.
• Proficient in the English language
• Proficient in relevant development tools and technologies.
• Ability to work independently and as part of a team.
• Meticulous attention to detail.
• Creative and effective problem-solving skills.
• Ability to prioritize tasks.
• Willingness to learn and take on new challenges.

Supervisory Responsibilities:

This position has no supervisory responsibilities.

Work Conditions:

• This is a fully remote role, with the expectation of working from your own home office or a remote work environment.
• Working hours will be part time or full time, preferably between 7 AM to 4 PM EST.

Physical Requirements:

1. Must be able to sit for extended periods working on a computer.
2. Manual dexterity for frequent keyboarding
3. Visual acuity for working on a computer
4. Must be able to work a flexible schedule to accommodate project deadlines and meetings.
5. Remote positions require home office setup with computer, phone, internet, and supplies.

Compensation commensurate with experience.

About Trianz

Trianz is a leading-edge technology platforms and services company that accelerates digital transformations at Fortune 100 and emerging companies worldwide in data & analytics, digital experiences, cloud infrastructure, and security. The company has developed a disruptive “IP Led Transformations” vision, strategy, and business model over the past 3 years. Some of the company’s IP was recently acquired by AWS and its overall business model has taken off sharply in 2024.

Trianz is led by Sri Manchala, a former Special Forces officer from the Indian Army and author of Crossing the Digital Faultline , and a team of veterans from well-known firms such as McKinsey, Deloitte, HCL, KPMG, Wipro, Microsoft, Tata, AWS, GE, etc.

Trianz believes that companies around the world face three challenges in their digital transformation journeys - shrinking ‘time to transform’ due to competition & AI, lack of digital-ready talent, and uncertain economic conditions. To help clients leapfrog over these challenges, Trianz has built IP and platforms that have transformed adoption of the Cloud, Data, Analytics & Insights AI.

Specifically, Trianz platforms are changing the way companies approach transformations in various disciplines:

• Concierto: A fully automated platform to Migrate, Manage, and Maximize the multi & hybrid cloud. A zero code SaaS platform, Concierto allows teams to migrate to AWS, Azure and GCP; and manage them efficiently from a single pane of glass. Visit for more
• Avrio ‘Data to AI’ Platform: Built on the concept of ‘federated or distributed data’, Avrio revolutionizes how users access data anywhere in their company’s ecosystems; productizes data and makes it available in a Netflix like user experience while delivering BI and AI powered insights. Visit for more
• Pulse: Recognizing that workforces will be distributed, mobile, and fluid, Trianz has built a ‘future of work’ digital workplace platform called Pulse. Visit for more

Since the market launch of this strategy in mid-2023, Trianz has experienced enormous growth, success and recognition.

Some of Trianz built IP in data and analytics was acquired by Amazon. Since then, Trianz has been made an engineering partner of Amazon for building/supporting connected ecosystems across multiple AWS platforms

Most recently, Trianz and AWS have signed an SCA (Strategic Collaboration Agreement) to work on joint solutions for the cloud; AWS will buy Concierto licences in bulk for AWS partners to use for migrations, and recommend Concierto to their MSPs. Further, AWS Professional Services and Trianz have signed an agreement for joint solutioning and customer delivery. Read more here: Trianz enters into a Strategic Collaboration Agreement with AWS to Revolutionize Cloud Adoption and Management (yahoo.com)

Given all this, Trianz is experiencing a significant demand for its SW platforms and consequent growth. To support this growth, Trianz has recently raised private equity capital to scale the company over the next several years (Trianz Announces Strategic Growth Capital Investment by Capital Square Partners (prnewswire.com ). It is now bolstering its senior and mid-level leadership with top talent across GTM, Engineering, Services, and Partnership organizations. We are seeking leaders driven by our purpose - to help customers accelerate digital transformations and build the next generation software and services organization.

About the Role:

We are seeking a dynamic and forward-thinking Senior GenAI & Agentic AI Specialist to lead the development, deployment, and optimization of intelligent systems that leverage Generative AI and Agentic AI architectures. You will be instrumental in building AI agents capable of autonomous decision-making, task decomposition, and multi-modal interactions across various enterprise or consumer-facing applications.

Key Responsibilities:

• Design & Development:
• Architect, prototype, and deploy agentic AI systems capable of reasoning, planning, memory, and self-refinement.
• Fine-tune and deploy LLMs (e.g., GPT, Claude, LLaMA, Mistral) for specific tasks like text, image, or code generation.
• Integrate multi-modal models (e.g., vision-language, speech-text) for richer agent interactions.
• Autonomy & Task Execution:
• Build AI agents that can independently plan, execute, and monitor workflows across tools and platforms (e.g., APIs, browsers, CLIs).
• Develop agent memory, reflection, and context-awareness mechanisms.
• Tooling & Frameworks:
• Work with and contribute to agent frameworks like LangChain, AutoGPT, CrewAI, MetaGPT, OpenAgents , or custom-built systems.
• Optimize model performance, latency, and cost using techniques like LoRA, RAG, distillation, and quantization .
• Collaboration & Leadership:
• Partner with product managers, designers, and engineers to co-develop AI-first features and applications.
• Mentor junior AI engineers and help guide technical direction.
• Ethics & Safety:
• Implement alignment, safety, and guardrail mechanisms to ensure responsible agentic behavior.
• Stay updated with regulatory and ethical considerations in AI deployment.

Requirements:

Must-Have Skills:

• Strong foundation in machine learning, deep learning, NLP , and modern LLM architectures.
• Hands-on experience with transformers , RAG pipelines , prompt engineering , and chain-of-thought reasoning .
• Demonstrated ability to build or integrate agent frameworks for automation and intelligent task handling.
• Proficiency in Python , PyTorch , Hugging Face Transformers , and agent libraries like LangChain or CrewAI.
• Deep understanding of vector databases , retrieval systems , and context enrichment strategies.

Preferred Qualifications:

• Experience in multi-agent systems , reinforcement learning , or hierarchical planning .
• Familiarity with orchestration tools (e.g., Prefect, Airflow, Ray) for large-scale agent deployment.
• Knowledge of observability and agent monitoring tools.
• Contributions to open-source GenAI or agentic AI projects.

We are seeking a highly skilled and self-reliant AI Developer with a strong background in Python and a minimum of 3 years' experience in AI/ML development . The ideal candidate will be responsible for designing, developing, and deploying intelligent AI agents from scratch without relying on third-party AI libraries or external platforms. You will work closely with our product and engineering teams to create robust, scalable, and efficient AI-driven solutions.

• Design, develop, and implement AI agents and machine learning models without using third-party tools (e.g., LangChain, AutoGPT, etc.).
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• Build custom algorithms and pipelines for data processing, decision-making, and interaction logic.
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• Write clean, efficient, and well-documented Python code for AI and ML model development.
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• Develop, train, and evaluate models for NLP, decision trees, reinforcement learning, or agent-based systems, as applicable.
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• Integrate AI components with existing systems and APIs.
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• Optimize models and systems for performance, reliability, and scalability.
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• Conduct experiments, analyze results, and iterate on design and functionality.
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• Stay up to date with advances in AI research and best practices in agent architecture.
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• Collaborate with cross-functional teams including data engineers, product managers, and backend developers.

• 3+ years of hands-on experience in AI/ML development using Python .
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• Strong understanding of machine learning , NLP , and reinforcement learning principles.
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• Proven experience building AI systems or agents without relying on third-party orchestration libraries.
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• Excellent coding skills in Python , including OOP, data structures, and design patterns.
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• Solid experience in algorithm development, statistical modeling, and model evaluation.
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• Proficient with numerical and scientific computing tools like NumPy, Pandas, Matplotlib, etc.
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• Experience with model training frameworks (optional: TensorFlow, PyTorch – only if used for raw model development).
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• Strong analytical and problem-solving skills.

About the role:

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.

Required skills

• 4+ years of professional experience in building Machine Learning models & systems
• 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Understanding of Cloud services from various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Develop and optimize LLM-based solutions : Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership : Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration : Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration : Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance : Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation : Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.