ML/AI Ops Engineer responsible for operationalizing, deploying, and sustaining machine learning solutions. Collaborating across data science, software engineering, and cloud infrastructure at Xcel Energy.
About the role
- Industrial AI Applications Lead driving the development and deployment of AI solutions in industrial environments. Collaborating with customers and teams for practical, scalable, and impactful results.
Responsibilities
- Provide industrial domain expertise to guide AI tool, platform, and roadmap decisions and development
- Work directly with internal and external customers in a consultative, problem-solving manner to gather feedback and refine solutions
- Drive investigations into the application of advanced AI capabilities to industrial problems
- Identify and define industrial use cases for AI applications
- Develop AI-enabled demos, prototypes, and proof-of-value solutions for industrial problems
- Collaborate with cross-functional teams to integrate AI capabilities into industrial software systems and implement AI solutions
- Evaluate the performance and impact of AI models in operational environments
- Support and mentor junior team members
Requirements
- 10+ years of experience in industrial systems, automation, applied AI, or AI-enabled software engineering with at least 3 years in a customer-facing, technical lead position
- Bachelor's degree in Computer Science, Engineering, Industrial Systems, or a related technical field; advanced degree preferred
- Exceptional industrial domain understanding (manufacturing, energy, infrastructure, asset-intensive industries, material science, etc.)
- Customer-focused, pragmatic, and results-oriented with experience leading cross-functional technical projects or customer engagements
- Demonstrated hands-on experience deploying or integrating AI/ML solutions into real-world industrial environments
- Ability to identify emerging opportunities for AI in industrial applications
- Excellent communication and interpersonal skills with the ability to embed closely with customer teams and collaborate internally across engineering, product, and commercial teams
Benefits
- Flex work hours
- 20 days PTO rising to 25 with service
- three paid volunteering days
- primary and secondary parental leave
- well-being support
- medical
- dental
- vision
- 401K
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