17,578 AI Ml jobs in India

Dear Aspirant,

Greetings from TCS !

TCS presents excellent opportunity for Data Science & AI/ML Architect (Traditional AI & Generative AI)

Exp: 8- 20 Years

Job Location: Chennai / Bangalore / Hyderabad / Mumbai / Pune / Kolkata / Delhi / Noida / Gurgaon

●Develop scalable AI/ML solutions that integrate seamlessly with existing systems and align with business objectives

●Experience in defining and designing robust AI/ML architectures on cloud platforms such as Azure, AWS, or Google Cloud.

●Handson experience on implementing solutions using RAG, Agentic AI, Langchain, MLOps

●Experience in implementing ethical AI practices and ensuring responsible AI usage in solutions.

●Proficient in using tools like TensorFlow, PyTorch, Hugging Face Transformers, OpenAI GPT, Stable Diffusion, DALL-E, and AWS SageMaker, Azure ML, Azure Databricks to develop and deploy generative AI models across cloud environments.

●Experience in some of the industry renowned tools for AI/ML workload implementation like Dataiku, Datarobot, Rapidminer etc.

●Exposure to complex AI/ML solutions with computer vison/NLP etc.

●Collaborates with Infrastructure and Security Architects to ensure alignment with Enterprise standards and designs

●Strong oral and written Communication skills. Good presentation skills

●Analytical Skills

Business orientation & acumen (exposure)

This role is for one of the Weekday's clients

Salary range: Rs 1000 - Rs 2000 (ie INR 10-20 LPA)

Min Experience: 5 years

Location: Bengaluru

JobType: full-time

We are seeking an experienced professional to lead academic delivery, curriculum development, and student engagement for data science and AI/ML programs. The ideal candidate will have a strong technical background, proven teaching expertise, and the ability to connect with both students and industry leaders to ensure high-quality learning outcomes.

Requirements

Key Responsibilities

Academic Delivery & Curriculum Development

• Deliver data science and AI/ML courses and practicum sessions independently.
• Collaborate with academic leadership to design, enhance, and update curriculum based on research and industry benchmarking.
• Maintain academic quality and relevance through continuous content updates.

Student Engagement & Support

• Mentor, guide, and support students to achieve successful learning outcomes.
• Oversee student onboarding, engagement, evaluation, and placement support.
• Gather and analyze feedback to improve learning experiences.

Event Management & Industry Collaboration

• Plan and coordinate hackathons, workshops, and academic-industry collaborative events.
• Partner with marketing and academic teams to manage batch/cohort enrolments.
• Network with industry leaders and invite them to participate in academy initiatives.

Administration & Digital Management

• Administer and maintain the Learning Management System (LMS).
• Update academy website and social media channels with relevant content.
• Generate reports and present findings to management.

Qualifications & Skills

Education

• Master’s or Doctoral degree in Statistics, Computer Science, Data Science, Mathematics, or a related discipline.

Technical & Professional Skills

• Familiarity with the EdTech and online learning industry.
• Proficiency in LMS tools and platforms.
• Strong teaching, facilitation, and communication skills.
• Proficiency in Python, R, or SQL.
• Hands-on experience with data science libraries and frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong interpersonal, multitasking, and event coordination skills.
• Project management, problem-solving, and decision-making abilities.

Experience

• 5–7 years of teaching, academic program management, or relevant industry experience in the data science domain.

Key Interfaces

• Internal: Faculty, Students, Academic, Digital Transformation, Marketing, IT, Finance, and Operations teams.
• External: Vendors, industry leaders, consultants, universities, and academic partners.

Additional Requirement

• Professional demeanor, punctuality, and the ability to engage effectively with students and industry stakeholders.

Core Skills

• Python
• Data Science
• TensorFlow

Dear Aspirant ,

Greetings from TCS !

TCS presents excellent opportunity for Data Science & AI/ML Architect (Traditional AI & Generative AI)

Exp: 8- 20 Years

Job Location: Chennai / Bangalore / Hyderabad / Mumbai / Pune / Kolkata / Delhi / Noida / Gurgaon

●Develop scalable AI/ML solutions that integrate seamlessly with existing systems and align with business objectives

●Experience in defining and designing robust AI/ML architectures on cloud platforms such as Azure, AWS, or Google Cloud.

●Handson experience on implementing solutions using RAG, Agentic AI, Langchain, MLOps

●Experience in implementing ethical AI practices and ensuring responsible AI usage in solutions.

●Proficient in using tools like TensorFlow, PyTorch, Hugging Face Transformers, OpenAI GPT, Stable Diffusion, DALL-E, and AWS SageMaker, Azure ML, Azure Databricks to develop and deploy generative AI models across cloud environments.

●Experience in some of the industry renowned tools for AI/ML workload implementation like Dataiku, Datarobot, Rapidminer etc.

●Exposure to complex AI/ML solutions with computer vison/NLP etc.

●Collaborates with Infrastructure and Security Architects to ensure alignment with Enterprise standards and designs

●Strong oral and written Communication skills. Good presentation skills

●Analytical Skills

Business orientation & acumen (exposure)

About Company: One of the global leader in delivering digital transformation and engineering services exclusively for the Connectedness industry, including telecom, digital service providers, and network technology companies.

Exp :5-8yrs

Location:Chennai,Bangalore

Job Title:Lead Engineer

Roles and Responsibilities:

• Design, develop, and optimize agentic AI systems capable of decision-making and autonomous task execution.
• Build and deploy end-to-end GenAI pipelines using LLMs (OpenAI, Claude, LLaMA, Mistral, etc.).
• Implement RAG pipelines integrating LLMs with vector databases (e.g., FAISS, Pinecone, Weaviate) for contextualized retrieval.
• Fine-tune and deploy large language models (LLMs) and integrate them with LLM orchestration platforms (LangChain, LlamaIndex, Flowise, etc.).
• Work with TensorFlow or PyTorch to implement and train custom deep learning models as needed.
• Collaborate with product managers, researchers, and engineers to translate business requirements into technical solutions.
• Evaluate and integrate state-of-the-art AI research into production-grade solutions.
• Ensure scalable and secure deployment of AI models via REST APIs or cloud platforms (AWS, GCP, Azure).
• Conduct performance tuning and continual learning/monitoring of deployed models.

Qualification:B.E /B.tech

Job Title:
AI and ML Engineer (5+ Years experience)
We are seeking an experienced and high skilled senior Machine Learning and Artificial Intelligence Developer to join our development team. The ideal candidate will have over 5 years of experience in building AI algorithms. And be able to work independently without any supervision.
Requirements:
Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production.
Solid understanding and experience of deep learning architectures and algorithms
Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc.
Should have 5 + years experience in implementation of machine learning projects.
Knowledge of open source libraries such as xgboost,Tensor Flow, Pytorch
Work with business analysts/consultants and other necessary teams to create a strong solution
Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc. Skills in Java/SQL are a plus
Should developing solutions using python in AI/ML projects
Should be able to train and build a team of technical developers
Good to have knowledge on any of the cloud solutions such as Azure or AWS
Good to have knowledge on any of container technology such as Docker
Should be able to work with a multi culture global teams and team virtually
Should be able to build strong relationship with project stakeholders

About Company: One of the global leader in delivering digital transformation and engineering services exclusively for the Connectedness industry, including telecom, digital service providers, and network technology companies.

Exp :5-8yrs

Location:Chennai,Bangalore

Job Title:Lead Engineer

Roles and Responsibilities:

Qualification:B.E /B.tech

• Develop applications using LLM APIs (Azure / OpenAI) and open-source models.
• Implement prompt templates, evaluation loops and model instruction tuning.
• Design and develop machine learning algorithms and deep learning applications
• Build RAG pipelines: ingestion embeddings vector DB retrieval.
• Ship prototypes (FastAPI endpoints, simple UIs) and production grade deployments.
• Write unit tests, monitoring hooks and participate in cost-control for API usage.

• 1 3 yrs experience with Python/Keras/PyTorch.
• Practical experience with Hugging Face / transformers or calling hosted LLM APIs.
• Familiarity with embeddings + any vector DB (Pinecone / Weaviate / Milvus).
• Basic web/API skills (FastAPI/Flask).
• Azure/AWS/GCP hands-on experience

• LangChain experience, Azure/Azure OpenAI exposure, experience with prompt engineering frameworks.
• Basic knowledge of authentication (Azure AD / OAuth), SQL, and basic infra (Docker/Kubernetes).

VDart: Digital Consulting & Staffing Solutions

VDart is a leading digital consulting and staffing company founded in 2007 and headquartered in Alpharetta, Georgia. VDart is one of the top staffing companies in USA & also provides technology solutions, supporting businesses in their digital transformation journey. Digital consulting services, Digital consulting agency

Core Services:

• Digital consulting and transformation solutions
• Comprehensive staffing services (contract, temporary, permanent placements)
• Talent management and workforce solutions
• Technology implementation services

Key Industries: VDart primarily serves industries such as automotive and mobility, banking and finance, healthcare and life sciences, and energy and utilities. VDart - Products, Competitors, Financials, Employees, Headquarters Locations

Notable Partnership: VDart Digital has been a consistently strong supplier for Toyota since 2017 Digital Transformation Consulting & Strategy Services | VDart Digital , demonstrating their capability in large-scale digital transformation projects.

With over 17 years of experience, VDart combines staffing expertise with technology solutions to help organizations modernize their operations and build skilled workforce capabilities across multiple sectors.