Scientist 5, Data Science (12+ years experience . Generative AI, interpretable ML, Statistics) job opportunity at Western Digital.

Home Jobs In India Tag: Data Science (12+ years experience . Generative AI, interpretable ML, Statistics) Scientist 5, Data Science (12+ years experience . Generative AI, interpretable ML, Statistics) position at Western Digital


Date2026-04-08T06:58:43.678Z bot
Western Digital Scientist 5, Data Science (12+ years experience . Generative AI, interpretable ML, Statistics)
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Pattern: Full-time
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Data Science (12+ years experience . Generative AI, interpretable ML, Statistics)

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degreeGeneral
loacation Bengaluru, Karnataka, India
loacation Bengaluru, Kar..........India
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Job DescriptionRole summary We’re hiring a hands-on technologist to lead the design, delivery and operational scaling of mission-critical AI/ML systems. This is a senior technical leadership role, combining end-to-end system design, deep ML engineering, research translation and team enablement. You will set technical direction, unblock engineering teams, and take direct ownership for measurable business outcomes. Core responsibilitiesOwn end-to-end system design and architecture for production ML/AI solutions — from problem framing, data design, model selection and infra to monitoring, runbooks and cost control.Lead hands-on technical delivery: prototype, validate, harden and ship models and agentic components into live systems; ensure reliability, observability, and automated CI/CD for models and data pipelines.Act as the single technical escalation point — remove blockers, resolve cross-team technical tradeoffs, and make final architecture decisions that balance performance, scalability, cost and vendor dependencies.Mentor and grow engineering teams (ML engineers, data engineers, OR engineers), set engineering standards, code/architecture reviews and champion best practices (MLOps, testing, data contracts).Translate research into product: evaluate papers, run experiments, lead IP efforts (patents, trade secrets) and supervise research to production pipelines.Drive multiple projects in parallel with clear prioritization, milestones and delivery SLAs; align technical plans to business KPIs.Define, track and report success metrics and ROI for all ML initiatives; continuously tune models and design experiments for measurable impact.Collaborate with product, platform, security, legal and operations teams to ensure compliance, data privacy and safe, explainable model behavior.Works closely with Product, Platform, Security, Legal, and Business stakeholders.Become a visible technical leader within the company — represent technical strategy externally when needed. 

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