Western Digital Scientist 5, Data Science (12+ years of experience) \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Scientist 5, Data Science (12+ years of experience) Full-time Job Type (exemption status): Exempt position - Please see related compensation & benefits details below Business Function: Program Management Engineering Work Location: Bangalore Hallmark Office (IBS)--LOC\\_WDT\\_IBS Company Description At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, weve been doing just that. Our technology helped people put a man on the moon. We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the worlds biggest companies and public cloud, Western Digital is fueling a brighter, smarter future. Binge-watch any shows, use social media or shop online lately? Youll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? Thats us, too. We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology, SanDisk® and WD® brands. Todays exceptional challenges require your unique skills. Its You & Western Digital. Together, were the next BIG thing in data. ABOUT ADVANCED ANALYTICS OFFICE (AAO) and BIG DATA PLATFORM (BDP) AAO is missioned with accelerating Analytics solutions at scale across the Enterprise to rapidly capture business value. These solutions target key business metrics, such as, reducing manufacturing cost, improve capital efficiency, reduce time-to market to develop new products, improve operational efficiency, and improve customer experience. These solutions are built using cutting edge Industrial 4.0 technologies and are delivered through a platform approach to enable rapid scaling. The solutions span AI/ML for improving manufacturing yield, quality, equipment uptime, and adaptive testing, Operations Research for capacity and scheduling optimization, Digital Twin for inventory and logistics optimization, and Product Telematics for managing customer fleet management solutions. Big data platform, BDP team provides self-service data and application platforms enabling rapid scaling of services to make ever increasing business impact. You will have the opportunity to partner in making remarkable things happen across WDTs more than dozen factories across the globe, global product development teams, customer solutions, and supporting operations like Finance, supply chain, Procurement, Sales etc Job Description Role summary Were 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 responsibilities Own 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. Qualifications Must-have qualifications & experience 12+ years of hands-on experience in Machine Learning/AI engineering and solution delivery, across classical ML, generative models and agentic/LLM-based systems. Proven ability to design production ML platforms (data ingestion training serving monitoring retraining) with scalability, reliability and cost awareness. Deep expertise in system & distributed design: data architectures, feature stores, model serving, streaming/batch pipelines, autoscaling, retries/poison-pill handling and disaster recovery. Strong MLOps and DevOps experience: CI/CD for models, monitoring (data + model drift), A/B testing, canary deployment and rollback strategies. Strong practical experience in classical ML, deep learning and modern LLM/agentic systems (RAG, fine-tuning, evaluation, guardrails) using Python and modern ML frameworks (PyTorch/TensorFlow). Experience with CI/CD for models, containerization (Docker/Kubernetes), model serving, monitoring, drift detection and automated retraining pipelines. Strong coding and service design (APIs/microservices), testing practices, high-availability design, observability and incident handling for live AI systems. Experience mentoring/leading senior engineers and small cross-functional teams; comfortable as the technical owner across several concurrent initiatives. Prior experience publishing research and participating in IP creation (patent filings, trade secrets) is required. Excellent communication skills able to present technical tradeoffs to both engineering and executive stakeholders. Preferred skills Background with reinforcement learning, foundation models, LLMs and agent orchestration frameworks. Hands-on with cloud platforms (AWS/GCP) and on-prem hybrid deployments. Strong software engineering fundamentals: scalable microservices, API design, security best practices, and cost optimization. Familiarity with optimization/OR techniques and integrating them with ML pipelines. System-design expectations Lead architecture reviews and design sessions; produce clear system diagrams, component ownership, latency/capacity budgets, cost estimations and failure-mode analyses. Define data contracts, SLAs, service-level objectives and monitoring thresholds for every deliverable. Ensure designs are modular, testable and observable with clear automation for deployment, rollback and incident response. Make pragmatic architecture choices: prefer simpler solutions that meet business needs and constrain cost/dependencies; justify when heavy engineering is necessary. Additional Information Because Western Digital thrives on the power of diversity and is committed to an inclusive environment where every individual can thrive through a sense of belonging, respect, and contribution, we are committed to giving every qualified applicant and employee an equal opportunity.  Western Digital does not discriminate against any applicant or employee based on their protected class status and complies with all federal and state laws against discrimination, harassment, and retaliation, as well as the laws and regulations set forth in the Equal Employment Opportunity is the Law poster. Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at  to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline or email . I'm interested I'm interested I'm interested Refer a friend Posted by Ashok G share this job Share on LinkedIn&mini=true&source=SmartRecruiters&summary=Western%20Digital%20is%20looking%20for%3A%20Scientist%205%2C%20Data%20Science%20%20(12%2B%20years%20of%20experience)%20in%20Bengaluru%2C%20India.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FWesternDigital%2F744000108764375-scientist-5-data-science-12-years-of-experience-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FWesternDigital%2F744000108764375-scientist-5-data-science-12-years-of-experience-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6 Share on LinkedIn) Share on Facebook Share on Twitter.&via=SmartRecruiters&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FWesternDigital%2F744000108764375-scientist-5-data-science-12-years-of-experience-%3Ftrid%3D33221b55-7baa-4189-992e-a7fac0c08950 Share on Twitter) Share via email&body=Western%20Digital%20is%20looking%20for%3A%20Scientist%205%2C%20Data%20Science%20%20(12%2B%20years%20of%20experience)%20in%20Bengaluru%2C%20India.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FWesternDigital%2F744000108764375-scientist-5-data-science-12-years-of-experience- Share via email) Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Scientist 5, Data Science (12+ years of experience) Bengaluru, India Full-time I'm interested I'm interested

The role requires over 12 years of hands-on experience in Machine Learning/AI engineering and solution delivery, encompassing classical ML, generative models, and agentic/LLM-based systems. Proven ability to design scalable, reliable, and cost-aware production ML platforms is essential, including data ingestion, training, serving, and monitoring. Deep expertise in system and distributed design, MLOps, DevOps, and practical experience with classical ML, deep learning, and modern LLM/agentic systems using Python and ML frameworks like PyTorch/TensorFlow are required. Experience with CI/CD for models, containerization, model serving, monitoring, and automated retraining pipelines is also necessary. Strong coding, service design, testing practices, high-availability design, observability, and incident handling for live AI systems are crucial. Prior experience publishing research and participating in IP creation, such as patent filings, is a mandatory requirement.