AI and ML Engineer

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.

Description

Job Description

We are seeking a talented AI/ML Engineer in Data and AI team to drive the design, development, and operationalization of machine learning and GenAI solutions across Sandisk's enterprise. In this role, you will own end-to-end AI/ML projects, from problem framing and data strategy through model deployment and monitoring. You will partner directly with business stakeholders to translate complex requirements into scalable, production-grade solutions and mentor junior engineers on the team. Key Responsibilities

• Design, develop, and implement machine learning models and statistical analyses to address manufacturing, supply chain, and product quality challenges.
• Conduct exploratory data analysis and present actionable insights and recommendations to stakeholders.
• Develop prompt engineering strategies and feedback loops for LLM optimization; capture and normalize LLM interactions into reusable Knowledge Artifacts.
• Implement Retrieval-Augmented Generation (RAG) pipelines, including document parsing, chunking, vectorization, and semantic search using embeddings and vector databases. Support domain-specific ontologies, taxonomies, governance and versioning.
• Support agentic workflows using industry-standard frameworks for autonomous task orchestration and multi-step reasoning, with safe and controlled execution via constraints, policies, and fallback paths.
• Contribute to establishing and maintaining data quality standards, implementing validation frameworks and monitoring systems.
• Support the deployment and monitoring of machine learning models in production environments, including performance tracking and drift detection.
• Stay current with emerging data science technologies, methodologies, and industry trends, evaluating their applicability to organizational needs.
• Support end-to-end project delivery, ensuring timely completion and alignment with business objectives.

Qualifications

Required Qualifications

• Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 3+ years of professional experience in data science, machine learning, advanced analytics, or a related role.
• Strong expertise in machine learning algorithms, statistical modeling, and predictive analytics.
• Advanced proficiency in Python for data analysis, statistical computing, model development and SQL
• Hands-on experience with MLOps practices: model versioning (MLflow), CI/CD for ML, automated retraining, monitoring, and drift detection.
• Exceptional analytical and problem-solving skills with the ability to work effectively with large and complex datasets.
• Strong communication and presentation skills, with the ability to translate complex technical findings for non-technical stakeholders.

Preferred Qualifications

• Experience with Large Language Models (LLMs), prompt engineering, and GenAI application development.
• Familiarity with vector databases, embedding models, and semantic search architectures.
• Experience building agentic AI workflows and multi-LLM orchestration systems.
• Hands-on experience with data visualization and business intelligence tools such as Tableau, Power BI, or equivalent platforms.
• Experience using version control systems (Git) and collaborative software development practices.
• Experience deploying, monitoring, or maintaining machine learning models in production environments.
• Familiarity with cloud platforms (Azure, AWS, or GCP) and Lakehouse architectures (e.g., Databricks).

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 jobs.accommodations@sandisk.com 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.