AI Data Python Developer
Summary
Build and deploy AI/ML pipelines using Python, FastAPI, and cloud services like GCP to serve vector-based models and microservices.
Qualifications
- Strong proficiency in Python and backend frameworks (FastAPI, Flask, Django).
- Strong experience with FastAPI
- Airflow Experience
- Solid understanding of machine‑learning concepts, model deployment, and inference.
- Experience with cloud services GCP Services (Cloud Composer, GKE, GCS, VMs, Big Query, Firestore)
- Knowledge of Docker, Kubernetes, and CI/CD pipelines.
- Familiarity with vector databases (FAISS, Pinecone, Milvus) and traditional databases.
- Experience with asynchronous programming, distributed systems, and microservices.
- Strong understanding of API design, authentication, and security best practices.