ML-Ops

We’re looking for a hands-on Data Scientist with strong Python and backend skills to maintain and improve production algorithms. The focus is on performance optimization, parallel processing, bug fixing, and building/maintaining REST APIs (Django/FastAPI). ML/DL is applied pragmatically; GCP is a plus.



Key Responsibilities

• Maintain and improve production algorithms; triage and fix bugs; add regression tests
• Profile and optimize code (CPU/memory/I/O); apply parallelism/concurrency where relevant
• Design and maintain REST APIs (Django/DRF or FastAPI) for model/algorithm services
• Test for efficiency and scalability; benchmark latency/throughput; right-size costs
• Ensure high code quality: unit/integration tests, type hints, CI/CD, documentation
• Collaborate with product/data/QA to prioritize improvements and meet SLAs

• 5–7 years in data sc...