About this role
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 scalabilityPerform day-to-day‑operational tasks such as deployments, restarts, configuration updates, and environmental supportTroubleshoot platform issues and work with senior engineers or platform teams to resolve defectsSupport and maintain CI/CD pipelines for ML and GenAI workloadsBuild, update, and troubleshoot GitHub Actions workflows used for model, agent, and application deploymentSupport GitHub Actions runners (hosted or self-hosted), including operational troubleshooting and reliability issuesSupport teams using MLflow or Azure Machine Learning for experiment tracking and model registrationAssist with model promotion workflows across environments (dev → test → prod)Help internal teams follow established MLOps standards and deployment practicesProvide guidance on “how to ship” within the existing platform, not on model designSupport onboarding and operation of ML and GenAI endpoints exposed through Azure API Management (APIM)Assist with API configuration, versioning support, and operational troubleshootingWork with application teams to ensure services are integrated cleanly with platform APIsMonitor deployed ML and GenAI services for availability and basic performance issuesRespond to incidents, alerts, and operational issues following documented proceduresContribute to operational documentation, runbooks, and support playbooks 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 experienceStrong knowledge of machine learning methods, especially for personalization and digital innovationHands-on expertise in Python, SQL, and functional programming. Experience with PySpark is a plusExperience with containerization technologies like Docker and Kubernetes is preferred but not requiredExperience supporting production applications or ML systems in an operation or platform support roleHands-on experience with CI/CD pipelines and deployment automationExperience supporting model hosting or API-based servicesAbility to troubleshoot issues across environments and escalate appropriatelyWorking knowledge of Azure, Databricks, and GitHub from an operational or support perspectiveExperience using MLflow for experiment tracking and/or model registry supportExperience supporting GitHub Actions and GitHub Actions runnersExperience supporting or integrating services with Azure API Management (APIM)Exposure to GenAI systems, agent-based workloads, or LLM-backed servicesExperience supporting agent hosting or MCP-style services is preferred but not requiredAbility to self-start and self-direct work in a dynamic, cross-functional environmentExcellent communication skills with the ability to engage, influence, and encourage partners and team members to drive collaboration and alignmentExperience creating engaging and compelling stories and presentations from data and effectively communicating analysis results with a diverse non-technical audience 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