Technologist, Data Engineering (AI/ML Architect, Framework,Machine Learning at Sandisk

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, AI/ML, GenAI, Machine Learning, Deep Learning, Statistical Modeling, Python, SQL, TensorFlow, PyTorch, MLOps, Big Data, Data Visualization, Feature Engineering, Anomaly Detection, Cloud Platforms

Industry

Semiconductor Manufacturing

Description

Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description We are seeking a highly experienced and visionary Senior Data Scientist at the Technologist level to lead strategic AI/ML and GenAI initiatives. This role demands deep technical expertise, leadership in complex projects, and a passion for innovation in data science and advanced analytics. Key Responsibilities Lead the end-to-end data science lifecycle: problem definition, data acquisition, model development, deployment, and monitoring. Architect and implement scalable AI/ML solutions using modern frameworks, cloud platforms, and MLOps best practices. Drive GenAI initiatives including fine-tuning, prompt engineering, and integration into enterprise applications. Provide strategic direction and thought leadership on advanced analytics adoption across the business. Mentor, coach, and upskill a team of data scientists and engineers; foster a culture of innovation and collaboration. Partner with cross-functional teams (engineering, product, factory operations, IT) to translate business needs into data-driven solutions. Ensure model robustness, fairness, interpretability, and compliance with ethical AI standards. Design and oversee experimentation frameworks (A/B testing, causal inference, statistical modeling) for data-driven decision making. Stay ahead of emerging trends in AI, ML, and big data technologies; evaluate their potential for business impact. Present insights, models, and strategies to senior leadership and non-technical stakeholders in clear, actionable terms. Qualifications MS/ME/MTech/PhD in Data Science, Statistics, Computer Science, or related fields. ~15 years of experience in data science, AI/ML, or advanced analytics, including leadership in complex projects. Proven expertise in: Machine Learning, Deep Learning, and Statistical Modeling Optimization techniques for solving complex, high-dimensional problems. GenAI applications including architectures like RAG, fine-tuning, and LLMOps. Synthetic data generation and handling highly imbalanced and high-volume datasets. GenAI applications including architectures like RAG, fine-tuning, and LLMOps. Experience with anomaly detection, pretrained transformers, and custom embedding models. Strong proficiency in Python and SQL for data wrangling, analysis, and modeling. Hands-on experience with TensorFlow, PyTorch, Pyspark, and related AI/ML frameworks. Deep understanding of Big Data platforms (e.g., Spark, Hadoop, distributed databases, cloud data warehouses). Experience in MLOps: model deployment, monitoring, versioning, and lifecycle management. Strong knowledge of data architecture, pipelines, and feature engineering at scale. Familiarity with data visualization tools: Tableau, Power BI, Matplotlib, Plotly. Excellent communication and stakeholder management skills, with the ability to influence at senior levels. Additional Information Sandisk 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. Sandisk 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 [email protected] 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.

Responsibilities

Lead the end-to-end data science lifecycle, including problem definition, data acquisition, model development, deployment, and monitoring. Architect and implement scalable AI/ML solutions while driving GenAI initiatives and providing strategic direction on advanced analytics across the business.