ML-Ops
Core
Maintain and optimize production algorithms and build/maintain REST APIs for model services.
Role type
Senior ML-Ops Engineer (Python backend)
Builds
Production-grade algorithm services and REST APIs
Domain
Data science operations and backend engineering
Deliverable
production ML models
Required skills
Python (pandas, NumPy), profiling tools, parallel/concurrent processing, REST API development (Django/FastAPI), ML fundamentals (scikit-learn), testing frameworks (pytest), CI/CD
Preferred skills
GCP
Technologies
Django, DRF, FastAPI, GCP, pytest, cProfile, line_profiler, memory_profiler, py-spy
Responsibilities
Maintain and improve production algorithms; triage and fix bugs; add regression tests; profile and optimize code for CPU/memory/I/O; apply parallelism/concurrency; design and maintain REST APIs; test for efficiency and scalability; ensure high code quality with unit/integration tests and documentation
Seniority
Senior, hands-on IC
