MLOps Specialist

Location: Ann Arbor, MI, us

Company Description

Domino’s Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we’re a reshaped, reenergized brand of honesty, transparency and accountability – not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to ‘deliver the dream’ to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That’s just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you’d like to be a part of, consider joining our team!

Job Description

Domino’s is seeking a Technology Ops Support Specialist to join our Machine Learning Operations (MLOps) team. This role focuses on the hands-on implementation, operation, and support of ML/AI solutions built on platforms such as Azure and Databricks. You’ll work closely with senior engineers and data scientists to deploy models, maintain data pipelines, monitor system performance, and troubleshoot production issues.

The position emphasizes day-to-day execution, including model deployment support, environment configuration, automation, and integration with downstream systems. You’ll collaborate with teams across Data & AI, Decision Science, Engineering, Infrastructure, and Marketing to ensure ML solutions run reliably in production. You’ll also partner with the GenAI Enablement Lead to help implement custom models, connectors, and tooling that support broader enterprise AI adoption.

RESPONSIBILITIES AND DUTIES

• Operate and support production and non-production ML/GenAI services, including model, agent, and MCP server hosting, ensuring availability and basic scalability
• Perform day-to-day‑operational tasks such as deployments, restarts, configuration updates, and environmental support
• Troubleshoot platform issues and work with senior engineers or platform teams to resolve defects
• Support and maintain CI/CD pipelines for ML and GenAI workloads
• Build, update, and troubleshoot GitHub Actions workflows used for model, agent, and application deployment
• Support GitHub Actions runners (hosted or self-hosted), including operational troubleshooting and reliability issues
• Support teams using MLflow or Azure Machine Learning for experiment tracking and model registration
• Assist with model promotion workflows across environments (dev → test → prod)
• Help internal teams follow established MLOps standards and deployment practices
• Provide guidance on “how to ship” within the existing platform, not on model design
• Support onboarding and operation of ML and GenAI endpoints exposed through Azure API Management (APIM)
• Assist with API configuration, versioning support, and operational troubleshooting
• Work with application teams to ensure services are integrated cleanly with platform APIs
• Monitor deployed ML and GenAI services for availability and basic performance issues
• Respond to incidents, alerts, and operational issues following documented procedures
• Contribute to operational documentation, runbooks, and support playbooks

Qualifications

• Education: Bachelor’s in Computer Science, Software Engineering, Mathematics, or related field (Master’s preferred)
• Experience: 2-3+ years in technical project or delivery management with leadership experience
• Strong knowledge of machine learning methods, especially for personalization and digital innovation
• Hands-on expertise in Python, SQL, and functional programming. Experience with PySpark is a plus
• Experience with containerization technologies like Docker and Kubernetes is preferred but not required
• Experience supporting production applications or ML systems in an operation or platform support role
• Hands-on experience with CI/CD pipelines and deployment automation
• Experience supporting model hosting or API-based services
• Ability to troubleshoot issues across environments and escalate appropriately
• Working knowledge of Azure, Databricks, and GitHub from an operational or support perspective
• Experience using MLflow for experiment tracking and/or model registry support
• Experience supporting GitHub Actions and GitHub Actions runners
• Experience supporting or integrating services with Azure API Management (APIM)
• Exposure to GenAI systems, agent-based workloads, or LLM-backed services
• Experience supporting agent hosting or MCP-style services is preferred but not required
• Ability to self-start and self-direct work in a dynamic, cross-functional environment
• Excellent communication skills with the ability to engage, influence, and encourage partners and team members to drive collaboration and alignment
• Experience creating engaging and compelling stories and presentations from data and effectively communicating analysis results with a diverse non-technical audience

Additional Information

Benefits:
•    Paid Holidays and Vacation   
•    Medical, Dental & Vision benefits that start on the first day of employment
•    No-cost mental health support for employee and dependents
•    Childcare tuition discounts
•    No-cost fitness, nutrition, and wellness programs 
•    Fertility benefits
•    Adoption assistance
•    401k matching contributions   
•    15% off the purchase price of stock   
•    Company bonus