AI/ML Engineer

Role Overview

E Source is hiring a Senior AI/ML Engineer to help build scalable AI/ML systems for the utility industry. The role focuses on developing next-generation solutions that combine predictive modeling, optimization, and generative AI (including agentic workflows).

Responsibilities

• Collaborate with data scientists and software engineers to design, develop, and deploy scalable AI/ML products.
• Build reusable Python packages for ML/AI algorithms and data-processing pipelines.
• Contribute to AI system design, including:
  • Retrieval-Augmented Generation (RAG)
  • LLM integration
  • Agent-based workflows
• Develop agentic evaluation and monitoring frameworks (reasoning, consistency, fairness).
• Evaluate database design and write optimized queries for efficient retrieval and processing.
• Break down complex MLE/AI work into user and technical stories for implementation.
• Ensure high-quality test coverage and participate in peer reviews.
• Stay current with ML engineering, generative AI, and AI system orchestration; incorporate improvements into workflows.
• Participate in continuous delivery and Agile development practices.

Requirements

• Master’s degree in computer science, software engineering, data science, or related field (PhD preferred).
• 7+ years of professional experience designing, developing, and deploying machine learning software products.
• Strong Python skills, including building reusable packages and automation tools.
• Familiarity with Databricks for scalable data processing and collaborative analytics.
• Solid understanding of ML systems design and lifecycle concepts, including MLOps and scalable inference.
• Hands-on experience with cloud infrastructure: Azure, AWS, or GCP.

Nice to Have / Additional Signals

• Experience with emerging AI system design components and agentic architectures.
• Experience with image/text processing and time series forecasting use cases.
• Experience integrating ML products into continuous delivery workflows.