Job Description
Key Responsibilities: Build, train, and optimize ML/GenAI models (RAG, embeddings, LLM integrations) Develop production-grade services using Python + FastAPI Deploy ML workloads on GCP (Cloud Run, BigQuery, GCS, Pub/Sub) 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 GCP ML pipelines and deployment services Fast API CI/CD (Jenkins / GitHub Actions) API Development & API Management Solid OOPS fundamentals
5+ years
Strong hands-on Python • GenAI / LLM development • GCP – ML pipelines and deployment services • Fast API • CI/CD (Jenkins / GitHub Actions) • API Development & API Management • Solid OOPS fundamentals
5+ years
Strong hands-on Python • GenAI / LLM development • GCP – ML pipelines and deployment services • Fast API • CI/CD (Jenkins / GitHub Actions) • API Development & API Management • Solid OOPS fundamentals
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