Senior Associate, Viz CoE (GenAI FullStack)

About the role

Proficiency with Python and Advanced SQL queries, Stored procedures, query performance tuning, index maintenance, etc Experience working with databases, including relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB), along with data modeling and query optimization Intermediate to Advanced experience with cloud platforms such as AWS, Azure, or Google Cloud, including deploying and managing applications in cloud environments

What you'll do

• Responsible for end-to-end handling of the entire process, i.e., requirement gathering, data cleaning, processing and automation
• Build GenAI/ML end-to-end solutions using Python and modern LLM/GenAI frameworks by translating business objectives into clear technical requirements
• Assist in building RAG-based applications by integrating LLMs with document retrieval tools to improve accuracy and grounding of AI responses
• Help prepare and index datasets into vector stores (e.g., FAISS, Chroma) for use in RAG pipelines
• Support development of agentic or task-oriented AI workflows, where LLMs interact with tools or APIs to automate routine tasks

What you need

• LLMs
• Python
• Machine learning
• SQL
• NLP
• CI/CD

Good to have

• Vue.js
• React
• Angular
• Business analysis
• Prompt engineering
• Data modelling