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.

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