ML Data Engineer

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.

Requirements

• Developing API-based ingestion frameworks, event-streaming solutions, real-time and batch data pipelines, and optimizing large-scale data processing environments.
• Supporting emerging AI technologies such as embeddings, vector databases, retrieval-augmented generation (RAG), and AI-driven application integration.
• Partnering 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.