Data / Machine Learning Engineer - RSA - US

We are seeking a hands-on Data / Machine Learning Engineer to support an application and mainframe modernization initiative. This resource will focus on developing AI/data engineering capabilities to support the modernization effort and will work closely with a dedicated Mainframe SME who will provide the legacy application and mainframe expertise. The ideal candidate will have strong hands-on experience with Python, embeddings, vector databases, and RAG pipelines. Key Responsibilities

• Design, develop, and support RAG (Retrieval-Augmented Generation) pipelines for the application modernization initiative.

• Develop Python-based solutions and data/ML workflows.

• Create and work with embeddings to support retrieval and AI-driven application use cases.

• Implement and work with vector databases to store, retrieve, and manage embedded data.

• Build and maintain the data pipelines necessary to support RAG and AI/ML workflows.

• Partner closely with the Mainframe SME to incorporate legacy application knowledge and context into the modernization process.

• Work collaboratively with application and engineering teams throughout the modernization effort.

• Test, troubleshoot, refine, and improve AI/data engineering workflows and outputs.

• Support the development of scalable and repeatable approaches that can be applied across the modernization initiative., Mainframe/COBOL expertise is not required for this position. The Data/ML Engineer will work alongside a dedicated Mainframe SME who will provide the mainframe and legacy application expertise. Core Skills Python | Embeddings | Vector Databases | RAG Pipelines | Data/ML Engineering, We are seeking a strategic and hands-on Data Engineer to support Purchasing and Finance Analytics and Programs within our North America Data & AI team. Data engineering is the prac…

• 1 month ago +

Strong hands-on Python development experience.

• Hands-on experience building and supporting RAG pipelines.
• Experience creating and working with embeddings.
• Hands-on experience with vector databases.
• Data Engineering and/or Machine Learning Engineering experience.

• Experience developing data pipelines and integrating data across systems.

• Strong analytical and troubleshooting skills.

• Ability to work collaboratively with technical SMEs and engineering teams. Preferred Qualifications

• Experience working on enterprise-scale technology initiatives.
• Experience working within complex application environments.
• Exposure to application modernization initiatives is beneficial.