ML-Ops

Were 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 :

• 57 years in data science/software roles with production-grade Python
• Strong Python expertise (pandas NumPy) profiling tools (cProfile lineprofiler memoryprofiler 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

Additional Information :

What We Offer 

• Opportunity to lead cutting-edge AI projects in a global consulting environment. 

• Leadership development programs and training sessions at our global centers. 

• A dynamic and collaborative team environment with diverse projects. 

Position based in Mumbai (onsite)

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs. 

Remote Work :

No

Employment Type :

Full-time