Job Description

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 Qualifications

5-7 years in data science/software roles with production-grade Python
Strong Python expertise (pandas, NumPy), profiling tools (cProfile, line_profiler, memory_profiler, py-spy)
Parallel/concurrent processing (multiprocessing, threading, asyncio) and performance tuning
REST API development with Django/DRF or FastAPI (auth, error handling, pagination)
ML fundamentals with scikit-learn; experience deploying models to services
Testing/quality: pytest/unit test, CI/CD, Git workflows; clear communication and documentation

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ML-Ops Professional

Job Description

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