Senior Analyst - Data Science (R-19578)

Team: Data & Analytics

Location: Chennai - India

Commitment: Employee: Full Time

Workplace Type: hybrid

Key Responsibilities:

• Support and contribute to Generative AI initiatives across the organization.
• Develop and deploy GenAI applications using LLMs and AI frameworks.
• Leverage models such as GPT, Gemini, and LLaMA for AI-powered solutions.
• Build and manage multi-agent AI systems.
• Develop solutions using LangChain, LangGraph, FastAPI, Streamlit, Chainlit, and Transformers.
• Integrate AI capabilities into enterprise applications through APIs and cloud-native architectures.
• Design and implement RAG pipelines using vector databases such as FAISS, Qdrant, Weaviate, and ChromaDB.
• Collaborate with stakeholders to understand requirements and deliver AI-driven business solutions.
• Provide analysis, insights, and recommendations to support business needs.
• Stay current with emerging Generative AI technologies, tools, and best practices.

Key Requirements:

• Bachelor's degree in computer science, Engineering, Statistics, or a related technical field
• 6 - 8 years of experience in Data Analytics, Data Science, or Generative AI roles.
• Strong experience delivering data-driven and AI solutions in production environments.
• Proficiency in Python, PySpark, and SQL.
• Hands-on experience with data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.
• Experience with GenAI platforms and tools, including OpenAI, Anthropic, Google Vertex AI, FastAPI, Gradio, and Streamlit.
• Strong understanding of RAG (Retrieval-Augmented Generation) and Agentic AI architectures using LangChain and Lang Graph.
• Experience developing and deploying APIs using Fast API or similar frameworks.
• Knowledge of MLOps practices and machine learning deployment workflows is a plus.
• Strong analytical, problem-solving, communication, and stakeholder management skills.