Data Machine Learning Engineer
Rand TechnologyHighlight
Summary
About the Role
About You
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
- 4+ years of data engineering experience.
- 2–3+ years of hands-on machine learning modeling experience.
- Strong expertise in Microsoft SQL Server (T-SQL, query optimization, indexing, performance tuning).
- Proven experience building and managing data warehouses.
- Experience with ETL/ELT tools (SSIS, Azure Data Factory, or similar).
- Proficiency in Python for data processing, automation, and ML workflows.
- Experience with Azure Data Lake, Azure Synapse, or Microsoft Fabric.
- Exposure to Microsoft Dynamics 365 (CRM/ERP) and Dataverse.
- Background in semiconductor, distribution, or supply chain data environments.
- Experience deploying ML models into production environments.
- Familiarity with CI/CD pipelines for data and ML workloads.
Rand is a sophisticated, full-service technology hardware supply chain company offering a comprehensive suite of services including NPI, production, global services, and asset recovery to support Fortune 500 customers worldwide. With 30 years of product lifecycle solutions experience, we empower our clients to thrive in all market conditions. Rand seeks to enhance the bottom line of the businesses it serves and to work with them in development and implementation of socially responsible, sustainable practices. The Rand advantage is marked by superior market vision, world-class infrastructure, and unparalleled flexibility to meet customer needs. Rand Technology is focused on a technology-driven future that assures inclusiveness and diversity in a workplace where employees, partners, customers, vendors, and others are valued, respected, and working toward a common objective of responsible, environmentally conscious IT asset management.