ML-Ops

About this role

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Skills you'll use

What you'll do

• 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 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)

Who can apply

• 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
• 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. 

Perks & benefits

About Sia

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