AI / ML Engineer

# Remote AI / ML Engineer

## About the Company

E Source is a research, data, analytics, and technology-focused professional services firm serving the utility industry across the United States and Canada. The company develops solutions that help utilities improve customer engagement, grid optimization, and business operations.

## About the Role

The Senior AI/ML Engineer will contribute to the development of scalable machine learning and AI products for the utility and energy industry. The role involves building ML software, reusable Python packages, AI pipelines, RAG and LLM integrations, agent-based workflows, evaluation frameworks, and scalable data-processing solutions. The engineer will collaborate with data scientists, software engineers, and other cross-functional teams while supporting MLOps, testing, monitoring, and continuous delivery.

## Qualifications

• * Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
• * PhD preferred
• * 7+ years of professional experience designing, developing, and deploying machine learning software products
• * Strong Python programming skills
• * Experience developing reusable packages and automation tools
• * Familiarity with Databricks for scalable data processing and analytics
• * Understanding of ML system design, model lifecycle management, MLOps, and scalable inference
• * Hands-on experience with Azure, AWS, or GCP
• * Experience with containerization and CI/CD pipelines
• * Experience with distributed computing frameworks and machine learning packages
• * Experience with relational and nonrelational databases
• * Familiarity with generative AI tools and frameworks such as AutoGen, Hugging Face, LangChain, LangGraph, and LlamaIndex
• * Experience with agentic AI systems, AI orchestration, or AI-assisted decision-making is an asset
• * Strong analytical and problem-solving skills
• * Strong communication and collaboration skills
• * Utility, power, or energy sector experience is a plus
• * Deep knowledge of the Databricks technology stack for AI and data engineering is a plus
• * Authorization to work for any employer in the United States or Canada

## Skills & Requirements

• * Machine learning engineering
• * Artificial intelligence
• * Python
• * ML software development
• * Predictive modeling
• * Generative AI
• * LLMs
• * RAG
• * Agentic AI
• * AI orchestration
• * AI-assisted decision systems
• * MLOps
• * Model lifecycle management
• * Scalable inference
• * Databricks
• * Data engineering
• * Distributed computing
• * Data-processing pipelines
• * AI pipelines
• * Data ingestion and processing
• * Search and retrieval
• * AutoGen
• * Hugging Face
• * LangChain
• * LangGraph
• * LlamaIndex
• * Azure
• * AWS
• * GCP
• * Containerization
• * CI/CD
• * Relational databases
• * Nonrelational databases
• * Database design and optimization
• * ML testing and quality assurance
• * Peer reviews
• * Monitoring and evaluation
• * Model reasoning, consistency, and fairness
• * Reusable Python packages
• * Automation
• * Agile development
• * Continuous delivery
• * Technical documentation
• * Cross-functional collaboration
• * Utility and energy technology

## Equal Opportunity

E Source provides equal employment opportunities to qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by law. The company does not currently sponsor employment visas or Labour Market Impact Assessments.