Data Engineer
Core
Design, build, and maintain scalable data pipelines to support AI/ML models and analytics in global supply chain and planning operations.
Role type
Senior Data Engineer (AI/ML supply chain)
Builds
Data pipelines, data services, and APIs for intelligent decision-making tools
Domain
Semiconductor manufacturing, supply chain, and AI/ML
Deliverable
production ML models
Required skills
SQL, Python, distributed data processing (Spark, PySpark), cloud-based data platforms (Azure), LLM and Agentic AI, MLOps tools (MLflow), AI/ML frameworks (TensorFlow, Pytorch)
Preferred skills
Leading technical workstreams, mentoring engineers, architectural planning
Technologies
Databricks, Spark, Azure, MLflow, TensorFlow, PyTorch
Responsibilities
Design and maintain scalable data pipelines; collaborate with data scientists to prepare data for modeling; develop and optimize ETL/ELT processes; ensure data quality and lineage; support AI model deployment and monitoring; translate business requirements into technical solutions; contribute to data services and APIs.
Seniority
Senior, hands-on IC with potential for leadership
