Sia Partners
Consulting
ML-Ops
Neural analysis suggests this role is
optimal for mid candidates.
“ML-Ops at Sia Partners. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data pipelines. Build and deploy machine learning models”
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
5+ years of experience, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field, Proficiency in SQL, Experience with Python or R
Nice to Have
PhD preferred, Experience with specific ML frameworks, Cloud platform certifications
What You'll Do.
Develop and implement data pipelines
Build and deploy machine learning models
Design and maintain data warehouses
Create and optimize BI dashboards
Perform statistical analysis
Collaborate with stakeholders
Ensure data quality and integrity
Stay updated on industry trends
How You'll Work.
Team & Collaboration
Cross-functional teams; Business stakeholders
Communication Scope
Technical presentations; Stakeholder communication
Full Job Description
Sia Partners is a next-generation global management consulting firm, founded in 1999 and headquartered in Paris, France. The firm is recognised for its innovative approach, combining strategy and management consulting with data science and creativity. Sia Partners serves a diverse range of sectors, including energy, banking, healthcare, and technology, providing services to over 1,000 clients worldwide, including many Fortune 500 companies. With a strong emphasis on delivering tangible results and superior value, Sia Partners is committed to helping clients navigate the digital revolution and achieve transformation. The firm operates with a global presence, employing over 3,500 consultants across 48 locations in 20 countries Our Mumbai office was launched in 2024, marking an exciting new chapter for us. We’re building the team with people who are eager to shape something from the ground up — combining the agility and entrepreneurial energy of a startup with the backing and reach of a global brand. 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 (c
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