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Senior AI/ML Engineer

E Source·August 22, 2026·
🌍 Remote · Remote (US/Canada)Full-timeArtificial Intelligence

💰 $115,000 – $145,000/yr

At a glance

Who can apply
United States, Canada
Work arrangement
Remote · Remote (US/Canada)
Employment type
Full-time
Seniority
Senior
Salary
$115,000 – $145,000/yr · published by the employer

Checked against the employer's source on October 12, 2026. Details come from the employer's posting; confirm them on the application page.

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Job Description

About E Source

E Source is a research, data/analytics, and technology-focused professional services firm serving the utility industry across the US and Canada. With 450+ employees headquartered in Texas, we help utilities target customers effectively, optimize grid operations, and implement best practices and technologies for sustainable business growth.

The Role

We're seeking a Senior AI/ML Engineer to join our dynamic machine learning engineering team. You'll develop cutting-edge ML and AI products that empower utilities to make sustainable decisions through predictive modeling, optimization, and generative reasoning.

Key Responsibilities

  • Collaborate with cross-functional teams to design, develop, and deploy scalable software products incorporating machine learning and AI models
  • Build reusable Python packages to support ML/AI algorithm implementation and data-processing pipelines
  • Contribute to AI system design, including 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 ML engineering and AI tasks into manageable technical stories and user stories

What You'll Work On

You'll tackle diverse use cases including electrification analysis, 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.

Ideal Candidate

A self-motivated engineer who thrives in collaborative, innovative environments and is passionate about building intelligent, scalable AI/ML systems that drive meaningful impact in the utility industry.

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