ML Data Engineer

Role Summary:

The ML Data Engineer is responsible for designing, developing, and supporting scalable data and AI platforms that enable machine learning, advanced analytics, and intelligent applications across the enterprise. This role focuses on building robust data pipelines, integrating structured and unstructured data sources, and supporting AI/ML solutions in cloud-based environments.

What you’ll do and how you’ll make your mark:

• Developing API-based ingestion frameworks, event-streaming solutions, real-time and batch data pipelines, and optimizing large-scale data processing environments.

• Supports emerging AI technologies such as embeddings, vector databases, retrieval-augmented generation (RAG), and AI-driven application integration.

• Partners closely with data engineering, BI, analytics, application, and AI teams to ensure enterprise data is reliable, governed, scalable, and optimized for both reporting and AI-driven use cases.

This Job Description includes the essential job functions required to perform the job described above, as well as additional duties and responsibilities. This Job Description is not an exhaustive list of all functions that the employee performing this job may be required to perform. The Company reserves the right to revise the Job Description at any time, and to require the employee to perform functions in addition to those listed above.