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Remote role, generalist Data Scientist title, and metro India location increase applicant density.
Role requires specialized ML evaluation, MLOps, and governance expertise, limiting cross-industry transferability.
Explicit 10+ years, advanced degree, deep AWS MLOps and governance requirements mandate strict filters.
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Define and enforce evaluation-driven development frameworks and standards across the AI/ML and analytics portfolio ensuring measurable business impact.
Oversee multiple concurrent agile delivery cycles (45-day iterations) to ensure incremental, measurable value and manage risks and dependencies.
Set architectural, MLOps, and cost-management strategies for AI/ML platforms on AWS including deployment, monitoring, and governance frameworks.
Master's or PhD in Data Science, Statistics, Computer Science, Operations Research, or related field (or equivalent experience).
10+ years of experience delivering data science/ML/analytics solutions including leadership of technical strategy at portfolio or platform level.
Extensive hands-on and architectural experience with AWS AI/ML platforms and MLOps practices at scale.
Work Experience Required: 10+ years
Senior technical leader with experience leading evaluation strategy and delivery governance across multiple AI/ML projects or products.
Operates well in agile multi-team environments with accountability for measurable business outcomes and risk management.
Strong expertise in balancing model performance, explainability, compliance, and cost trade-offs in regulated or complex environments.