ML-Ops

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$61,842 U.S. median for this role

Projected growth (BLS Employment Projections)

+1.9% - Slower

Matched to SOC 11-1021 - Operations aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Operations From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

ML-Ops Mumbai, Maharashtra, India Company 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. 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

Read the full description at jobs.smartrecruiters.com. FewerJobs shows a preview and links to the original posting.