IN- Senior Associate_ Data Science + Gen AI _Data Analytics_ Advisory_ Bangalore

Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.  

Responsibilities 

• Design and implement Gen AI applications using LLMs (e.g., GPT, Claude, Llama) and multimodal models. 

• Develop prompt engineering strategies, fine-tune models, and optimize outputs for accuracy and relevance. 

• Build and deploy AI pipelines for text, image, audio, and video generation. 

• Integrate AI models into existing systems using APIs (OpenAI, Anthropic, Hugging Face, etc.). 

• Collaborate with product, design, and engineering teams to translate business needs into AI-driven features. 

• Conduct experiments, perform model evaluation, and improve performance using RLHF, embeddings, and retrieval-augmented generation (RAG). 

• Stay updated on emerging trends in AI research, model architectures, and generative technologies. 

• Ensure compliance with ethical AI practices, data privacy, and model governance policies. 

Mandatory skill sets: 

• Strong hands-on experience with Python, PyTorch, TensorFlow, or Transformers (Hugging Face). 

• Familiarity with LLM APIs, vector databases (e.g., FAISS, Pinecone), and RAG frameworks (e.g., LangChain, LlamaIndex). 

Preferred skill sets: 

• Experience building chatbots, copilots, or AI assistants. 

• Contributions to open-source AI projects or published research in AI/ML. 

Years of experience required: 

4-8 

Education Qualification

B.Tech / M.Tech / MBA / MCA