MLOps Specialist
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Job Location:
Ann Arbor, MI - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Dominos 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. Youll 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. Youll collaborate with teams across Data & AI Decision Science Engineering Infrastructure and Marketing to ensure ML solutions run reliably in production. Youll 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-dayoperational 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: Bachelors in Computer Science Software Engineering Mathematics or related field (Masters 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
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Sales Experience
- Crane
- Customer Service
- Communication skills
- Heavy Equipment Operation
- Microsoft Word
- Case Management
- OSHA
- Team Management
- Catheterization
- Microsoft Outlook Calendar
- EHS
About Company
Whats behind one of the worlds top public restaurant brands? Fun and innovative franchise and corporate team members who are driven to win. Inspired to make each day better than the last, people may join for different reasons but what motivates them to stay are the passionate and ta ... View more
