Gen AI & ML Developer

Job description

**Greetings from TCS Recruitment Team!** \\*Face to Face\\* For all those **Gen AI & ML Developer** we are coming bigger with the plan of **Face to Face Drive on 11th July,2026 (Saturday) in Vishakhapatnam** It is a Face to Face interview planned to attract great Talents in **Gen AI & ML Developer** We believe that your skills and expertise are a better match for the skills we are looking for. Skill: **Gen AI & ML Developer (Face to Face)** Years of experience: **5 to 12 Years** Location **: Vishakhapatnam** Date: **11th July,2026 (Saturday) (Face to Face)** Drive Time: **9 AM to 2 PM** **Job description** **TCS is Hiring Gen AI & ML Developer** **Experience: 5-12 years** **Location: Available for In person Interview on 11th July at TCS Visakhapatnam Millennium Towers, IT Hill No. 3, Rushikonda.** Key Responsibilities: \\* Design, develop, and deploy GenAI and machine learning solutions for business use cases. \\* Build and optimize AI/ML pipelines for training, inference, and model monitoring. \\* Develop applications using LLMs, prompt engineering, RAG, and vector databases. \\* Work with structured and unstructured data to create intelligent, scalable solutions. \\* Integrate AI models and APIs into enterprise applications and workflows. \\* Fine-tune, evaluate, and optimize models for accuracy, latency, and cost efficiency. \\* Ensure data quality, governance, and responsible AI practices across solutions. \\* Collaborate with data engineering, product, and business teams to deliver impactful AI solutions. Required Skills: Strong experience with Python, machine learning, and GenAI development Hands-on experience with LLMs, prompt engineering, RAG, and embeddings Proficiency in frameworks such as LangChain, LlamaIndex, TensorFlow, PyTorch, or similar Experience with vector databases, model deployment, and API integration Strong understanding of ML lifecycle, model evaluation, and MLOps concepts Experience working with cloud platforms such as Azure, AWS, or GCP Good understanding of Agile methodologies and stakeholder collaboration