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