Senior Data Scientist
Monthly Salary:
Not provided by the employer
Experience Required:
7-10years
Posted:
22 September 2026 (Yesterday)
Application Deadline:
20 December 2026
Vacancies:
1 Vacancy
Job Summary
Were 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
Required Skills:
Python FastAPI GenAI LLM Machine Learning RAG Embeddings API Development API Management OOPs CI/CD Jenkins GitHub Actions GCP Azure AWS Cloud Migration ML Platform Modernization Docker Kubernetes Vector Databases Pinecone FAISS Chroma Terraform IaC