Build, train, and optimize machine learning and GenAI models, including RAG and LLM integrations. Develop production-grade Python and FastAPI services, scalable APIs, and cloud-based ML solutions across GCP, Azure, and AWS. Support cloud migration, ML platform modernization, CI/CD implementation, API integrations, and modular object-oriented design while collaborating with product, data engineering, and infrastructure teams.
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, embedding, 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
Requirements
- 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
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