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
