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 SLAsQualifications





- 5 7 years in data science/software roles with production-grade Python
- Robust 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 ML-Ops Professional (Mumbai)
🏢 Sia Partners
📍 Mumbai