remote
AI / ML Engineer - E Source
ML Engineer
AI/ML Engineer crafting data‑driven solutions for utilities, leveraging Python, ML frameworks, and AWS to build scalable models that optimize grid operations and customer engagement.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models to improve grid reliability and customer insights.
- Collaborate with data scientists and domain experts to transform raw utility data into actionable analytics.
- Build and maintain end‑to‑end data pipelines using Python, SQL, and cloud services (AWS).
- Implement model monitoring, performance tracking, and continuous improvement processes.
- Document model logic, assumptions, and results for cross‑functional stakeholders.
Requirements
- 3+ years of experience in applied machine learning and data engineering.
- Hands‑on experience with AWS services (S3, SageMaker, Lambda, Glue).
- Strong analytical skills and ability to translate business problems into technical solutions.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningawssql