Job description

At E Source, we help utilities make sense of complexity in a rapidly changing landscape, and we’re looking for an AI / ML Engineer to help shape how that impact shows up in the world. E Source is a research, data/analytics, and technology focused professional services firm focused exclusively on the utility industry in the US and Canada. We help utilities target and serve their customers more effectively, enhance and optimize their grid, and leverage operating best practices and technologies to manage their business more effectively. Headquartered in Texas, we have 450+ employees across the US and Canada. Learn more at www.esource.com esource.com Joining E Source as a Senior AI/ML Engineer is an exciting opportunity to work with a dynamic and talented team, leveraging your skills to drive meaningful impact in the utility industry. You’ll contribute to the next generation of AI and ML solutions that blend predictive modeling, optimization, and generative reasoning to empower sustainable decisions. If you are a self-motivated engineer who thrives in a collaborative, innovative environment, and if you’re passionate about building intelligent, scalable AI/ML systems, we invite you to apply and help shape the future of utilities. As a Senior AI/ML Engineer at E Source, you’ll play a crucial role in our machine learning engineering team. Collaborating with data scientists and software engineers, you’ll contribute to the development of cutting-edge ML and AI products that support our mission of building a sustainable future with utilities. Your expertise will be instrumental in building tools and pipelines for developing and scaling machine-learning models, including emerging AI system design components and agentic architectures. You’ll work across a range of use cases—like electrification, network reliability, geospatial analysis, time series forecasting, image and text processing, and AI-driven decision systems—using both traditional ML and modern generative AI approaches. In this role, you will: - Collaborate with cross-functional teams to design, develop, and deploy scalable software products that incorporate machine learning and AI models. - Build reusable Python packages to support the implementation of ML/AI algorithms and data-processing pipelines. - Contribute to the design of AI systems, including components for retrieval-augmented generation (RAG), LLM integration, and agent-based workflows. - Develop agentic evaluation and monitoring frameworks to assess model reasoning, consistency, and fairness. - Evaluate database design and create optimized performance queries for efficient data processing and retrieval. - Break down complex MLE and AI tasks into manageable user and technical stories, ensuring efficient and effective implementation. - Ensure high-quality test coverage of ML code and participate in peer reviews to provide valuable recommendations. - Stay updated on the latest advances in machine learning engineering, generative AI, and AI system orchestration, and incorporate relevant practices into our workflows. - Contribute to continuous delivery and Agile development processes, adhering to best practices in ML and AI engineering. You’re likely a great fit if you: - Master’s degree in computer science, software engineering, data science, or a related field (PhD preferred). - Minimum of 7 years of professional experience designing, developing, and deploying machine learning software products independently and collaboratively. - Strong programming skills in Python, with experience developing reusable packages and automation tools. - Familiarity with Databricks for scalable data processing and collaborative analytics. - 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) and their integration into enterprise pipelines. - Experience developing or evaluating agentic AI systems, AI orchestration, or AI-assisted decision-making workflows is an asset. - Excellent problem-solving and analytical skills, with the ability to break down complex tasks into actionable steps. - Strong communication and collaboration skills, with a track record of working effectively in cross-functional teams. - Knowledge or experience in the utility, power, or energy sectors is a plus. - Deep knowledge in Databricks tech stack for AI and data engineering is a plus.· At E Source, you’ll work alongside people who are thoughtful, curious, and deeply knowledgeable about utility and energy systems. We value clarity over jargon, substance over flash, and collaboration over ego. You’ll have the opportunity to grow your skills, contribute to meaningful work, and help shape a company that plays a real role in how the energy future unfolds. What you can expect - Excellent insurance options, including medical, dental, and vision plans; company-paid life insurance; company-paid long- and short-term disability insurance; medical and dependent-care flexible spending plans, and paid parental leave. - A flexible time off (FTO) policy that provides paid time away from work, approved by your manager, while ensuring business needs, workload commitments, and appropriate coverage are maintained. - A 401(k)/RRSP plan with a 3% employer match. The budgeted salary for this position is $115,000–$145,000 USD+ annual bonus. Actual pay will be adjusted based on experience. This role will be 100% remote, with infrequent travel (generally 1–2 times per year). Applicants must be authorized to work for any employer in the US or Canada. We’re unable to sponsor or take over sponsorship of employment visas or Labour Market Impact Assessments (Cdn) at this time. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Employees of E Source are encouraged to apply. To foster a positive work environment and company culture, we support our employees in their career growth at E Source. If you are interested in similar job opportunities in the future, visit the E Source careers page for a listing of all open positions and contact Human Resources. We contact applicants directly via email using only our designated company email addresses with the domain of @esource.com esource.com. Please do not provide personal information to anyone over email and be wary of other accounts impersonating businesses. #LI-Remote

Requirements

Must-haves

At E Source, we help utilities make sense of complexity in a rapidly changing landscape, and we’re looking for an AI / ML Engineer to help shape how that impact shows up in the world.
Collaborate with cross-functional teams to design, develop, and deploy scalable software products that incorporate machine learning and AI models.
Build reusable Python packages to support the implementation of ML/AI algorithms and data-processing pipelines.
Contribute to the design of AI systems, including components for retrieval-augmented generation (RAG), LLM integration, and agent-based workflows.
Develop agentic evaluation and monitoring frameworks to assess model reasoning, consistency, and fairness.
Evaluate database design and create optimized performance queries for efficient data processing and retrieval.
Break down complex MLE and AI tasks into manageable user and technical stories, ensuring efficient and effective implementation.
Ensure high-quality test coverage of ML code and participate in peer reviews to provide valuable recommendations.
Stay updated on the latest advances in machine learning engineering, generative AI, and AI system orchestration, and incorporate relevant practices into our workflows.
Contribute to continuous delivery and Agile development processes, adhering to best practices in ML and AI engineering.
Minimum of 7 years of professional experience designing, developing, and deploying machine learning software products independently and collaboratively.
Strong programming skills in Python, with experience developing reusable packages and automation tools.
Familiarity with Databricks for scalable data processing and collaborative analytics.
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) and their integration into enterprise pipelines.
Experience developing or evaluating agentic AI systems, AI orchestration, or AI-assisted decision-making workflows is an asset.
Excellent problem-solving and analytical skills, with the ability to break down complex tasks into actionable steps.
Strong communication and collaboration skills, with a track record of working effectively in cross-functional teams.

Nice-to-haves

Master’s degree in computer science, software engineering, data science, or a related field (PhD preferred).
Knowledge or experience in the utility, power, or energy sectors is a plus.
Deep knowledge in Databricks tech stack for AI and data engineering is a plus.·
The budgeted salary for this position is $115,000–$145,000 USD+ annual bonus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningpythonllmagileazureawsgcpci/cd

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave