About the Role
We’re looking for a strong Data Scientist with hands-on development capability (Python, FastAPI, OOPs),
solid GenAI and LLM experience, and the ability to work end-to-end on GCP/Azure/AWS-based ML
solutions including deployment, APIs, and CI/CD.
Key Responsibilities
• Build, train, and optimize ML and GenAI models (RAG, embeddings, LLM integrations)
• Develop production-grade services using Python + FastAPI
• Deploy ML workloads on GCP/Azure/AWS
• Design scalable APIs and lead API integrations
• Contribute to Cloud Migration and ML platform modernization
• Implement CI/CD for ML pipelines and microservices
• Apply OOPS principles for clean, modular design
• Work collaboratively with Product, Data Engineering, and Infra teams
Must-Have Skills
• Strong hands-on Python
• GenAI / LLM development
• FastAPI
• CI/CD (Jenkins / GitHub Actions)
• API Development & API Management
• Solid OOPS fundamentals
• GCP/Azure/AWS
Nice-to-Have
• Docker / Kubernetes
• Vector DBs (Pinecone / FAISS / Chroma)
• Terraform / IaC