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ML/AI Ops Engineer at Xcel Energy | JobVerse
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ML/AI Ops Engineer
Xcel Energy
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LinkedIn
ML/AI Ops Engineer
Denver, Minnesota, United States of America
Full Time
2 weeks ago
$112,200 - $159,400 USD
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Key skills
ITSM
AI
Machine Learning
ML
GenAI
MLOps
Analytics
Agile
Scrum
CI/CD
Leadership
Change Management
Communication
Collaboration
About this role
Role Overview
Lead and support solution lifecycle technical activities
Ensure solutions are designed for great user experience and operational performance
Lead design, ensuring Enterprise Architecture, Security, Operations and Compliance aspects are continuously integrated into solutions
Provide input to cost and schedule estimation
Responsible for overall integrity of system design and operation
Oversee vendor activities
Conduct peer reviews and approve system changes and technical solution design
Coach and mentor less experienced team members
Partner cross-organizationally to drive minimal costs on optimal solutions
Provide in-depth technical information to stakeholders as needed
Innovate through usage of industry emerging capabilities and evolving customer needs
Provide input to strategic roadmap and technical dependencies
Continuously stay current on, and apply, technical industry knowledge pertaining to the respective domain
Review solution performance and continually assess health of systems
Track and drive awareness to operational and technical debt risks
Provide escalated support to incident and problem management
Utilize analytics to improve availability, reliability, efficiency and capacity
Productionize machine learning and AI models, including classical ML and GenAI, using standardized MLOps pipelines
Manage end-to-end model lifecycle activities: versioning, promotion, rollback, retraining, and retirement
Implement CI/CD practices for models, features, and inference services
Design, build, and maintain reusable MLOps pipelines for training, validation, deployment, and monitoring
Develop common components (feature pipelines, quality checks, evaluation harnesses) to reduce friction across AI projects
Implement monitoring for model performance, data drift, bias, and system health
Own AI/ML operational SLAs, SLOs, and incident response, including root-cause analysis and post-mortems
Ensure high availability, resilience, and recoverability of AI services
Support regulated or high-risk AI use cases by embedding governance, validation, and documentation into MLOps workflows
Produce and maintain required artifacts such as model cards, system cards, validation evidence, and audit support materials
Partner closely with AI Governance and Risk teams to ensure alignment with enterprise standards
Requirements
Ten years of related functional experience
Bachelor's degree in Technology, Science, Business or related field, or 4 years of experience equivalent to the position
Excellent communication skills
Excellent Relationship Management and collaboration skills
Expertise managing the lifecycle of technical solutions
Deep Subject Matter Expertise within the respective system domain products, platforms, processes and architecture
Broad and deep knowledge of technology architecture, infrastructure, network, security and software principles and models
Experience working in partnership with internal and external vendors
Excellent analytical, problem-solving and troubleshooting skills
Extensive knowledge of future technology trends within area of expertise
Demonstrated leadership on technical aspects of large-scale projects
Experience coaching other developers in system deployment or operational troubleshooting
Experience with delivery methodologies (Waterfall, Agile, Scrum) and operational models (ITIL)
Experience and understanding of core IT Service Management functions, such as Change Management and Incident Management
Tech Stack
ITSM
Benefits
Annual Incentive Program
Medical/Pharmacy Plan
Dental
Vision
Life Insurance
Dependent Care Reimbursement Account
Health Care Reimbursement Account
Health Savings Account (HSA) (if enrolled in eligible health plan)
Limited-Purpose FSA (if enrolled in eligible health plan and HSA)
Transportation Reimbursement Account
Short-term disability (STD)
Long-term disability (LTD)
Employee Assistance Program (EAP)
Fitness Center Reimbursement (if enrolled in eligible health plan)
Tuition reimbursement
Transit programs
Employee recognition program
Pension
401(k) plan
Paid time off (PTO)
Holidays
Volunteer Paid Time Off (VPTO)
Parental Leave
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