Data and AI 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
Design, build, and maintain scalable ETL/ELT pipelines to ingest structured and unstructured data from SAP S/4HANA, Oracle, Salesforce, and third-party APIs into enterprise data lakes/lakehouses.
Develop and optimize data products (medallion architecture) on platforms like Databricks
Implement data quality, lineage, and governance controls using tools such as Purview, Alation, or Unity Catalog.
Build, deploy, and monitor ML models (classification, regression, forecasting, anomaly detection) using Python, PySpark, scikit-learn, TensorFlow, or PyTorch.
Develop GenAI and LLM-powered solutions — including RAG (Retrieval-Augmented Generation) pipelines, embeddings, vector databases (Pinecone, Azure AI Search), and prompt engineering for Copilot/Azure OpenAI/Bedrock.
Operationalize models through MLOps practices — CI/CD for ML, model versioning, drift monitoring, and automated retraining (MLflow, Azure ML, SageMaker, Vertex AI)
Deploy and manage data/AI workloads on Azure, AWS, or GCP, leveraging services like ADF, Databricks, Glue, Lambda, Functions, and Kubernetes. Qualifications
4–6 years of professional experience in data engineering, ML engineering, or applied AI roles.
Proven track record of delivering at least 2–3 production-grade data or AI projects end-to-end
Working in global team ecosystem is a plus Preferred Qualifications:
Experience with enterprise ERP data (SAP S/4HANA, Oracle) and integration patterns (CDC, IDoc, OData, APIs).
Exposure to supply chain, procurement, Logistics analytics use cases (spend, demand forecasting, supplier risk).
Familiarity with Copilot Studio, or Agentic AI frameworks.
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.

Work arrangement
No