AI / ML Engineer

The role

You will design, develop, and deploy scalable software products incorporating machine learning and AI models. You will build Python packages, AI system components, and agentic architectures to support utility industry use cases.

What you will do

• Collaborate with cross-functional teams to design, develop, and deploy scalable software products.
• Build reusable Python packages for ML/AI algorithms and data-processing pipelines.
• Contribute to the design of AI systems including RAG, LLM integration, and agent-based workflows.
• Develop agentic evaluation and monitoring frameworks.
• Evaluate database design and create optimized performance queries.
• Break down complex MLE and AI tasks into manageable user and technical stories.
• Ensure high-quality test coverage of ML code and participate in peer reviews.
• Stay updated on advances in machine learning engineering and generative AI.
• Contribute to continuous delivery and Agile development processes.

Required qualifications

• Master’s degree in computer science, software engineering, data science, or a related field
• Minimum of 7 years of professional experience designing, developing, and deploying machine learning software products
• Strong programming skills in Python
• Familiarity with Databricks
• Solid understanding of machine learning systems design concepts, including model lifecycle management, MLOps, and scalable inference
• Hands-on experience with cloud infrastructure (Azure, AWS, or GCP), containerization, and CI/CD pipelines
• Proficiency with distributed computing frameworks, machine learning packages, and both relational and nonrelational databases
• Familiarity with generative AI tools and frameworks (e.g., AutoGen, Hugging Face, LangChain, LangGraph, LlamaIndex)

Nice to have

• PhD
• Experience developing or evaluating agentic AI systems, AI orchestration, or AI-assisted decision-making workflows
• Knowledge or experience in the utility, power, or energy sectors
• Deep knowledge in Databricks tech stack for AI and data engineering

Benefits

• Medical, dental, and vision plans
• Company-paid life insurance
• Company-paid long- and short-term disability insurance
• Medical and dependent-care flexible spending plans
• Paid parental leave
• Flexible time off (FTO) policy
• 401(k)/RRSP plan with a 3% employer match

Before you apply

• Applicants must be authorized to work for any employer in the US or Canada
• Unable to sponsor or take over sponsorship of employment visas or Labour Market Impact Assessments (Cdn)

About the company

E Source is a research, data/analytics, and technology focused professional services firm focused exclusively on the utility industry in the US and Canada. Headquartered in Texas, they have 450+ employees.