The Senior Platform and Machine Learning Operations Engineer designs, builds, and enhances the enterprise AI platform that enables the development, deployment, and operation of AI solutions at scale. This role focuses on delivering reusable platform capabilities, automation, integrations, and engineering tools that accelerate AI solution delivery while ensuring security, reliability, and operational excellence.General Responsibilities <ul><li>Designs, develops, tests, deploys, and maintains software for defined products or systems. Writes code, builds reusable modules, and converts business and technical requirements into effective designs.</li></ul><ul><li>Selects appropriate methods, technologies, interfaces, and design patterns within established architecture, security, scalability, and industry standards.</li></ul><ul><li>Participates in code, design, and release reviews; refactors existing code, integrates components, resolves complex defects, and improves application performance.</li></ul><ul><li>Develops automated tests for reliability and regression coverage and contributes to reusable patterns, development standards, build automation, and continuous delivery practices.</li></ul><ul><li>Owns assigned features or technical tasks by estimating effort, identifying risks and dependencies, meeting milestones, and collaborating across functions on development and troubleshooting.</li></ul><ul><li>Documents processes and technical decisions, shares knowledge with peers, evaluates relevant technologies, and supports quality, security, and industry compliance.</li></ul> Experience / Qualifications<ul><li>Relevant work experience or knowledge of the role</li><li>Must be a team player able to work in a fast-paced environment with demonstrated ability to handle multiple competing tasks and demands</li><li>Strong communication skills; oral, written and presentation</li><li>Strong organization, planning and time management skills to achieve results</li><li>Strong personal and professional ethical values and integrity</li><li>Takes ownership of meeting goals and standards</li><li>Proficient in Microsoft Office programs (Outlook, Word, PowerPoint, and Excel)</li><li>Strong interpersonal &amp; collaboration skills to work effectively with all levels of the organization including suppliers and/or external customers</li></ul>Additional Responsibilities:<ul><li>Build and run core components of Sensata's Azure AI platform, including Azure AI Foundry, Azure OpenAI, the LLM gateway, telemetry and shared developer tools, under the direction of the AI Platform Lead.</li><li>Build and maintain Dev/Test/Prod environments, CI/CD pipelines and infrastructure-as-code (Bicep/Terraform) so AI solutions are built, tested and released the same way every time.</li><li>Implement MLOps/LLMOps pipelines for model and prompt deployment, evaluation, versioning, drift and performance monitoring, and rollback.</li><li>Run production operations for platform services, including release management, observability, alerting and incident response.</li><li>Implement identity and access controls, secrets management and responsible AI guardrails. Work with IT on the underlying cloud, network and identity foundations.</li><li>Build reusable templates, SDKs, APIs and automation that help AI engineers and data scientists move from prototype to production quickly.</li><li>Track and optimize platform usage, performance, reliability and cost.</li></ul>  Additional Qualifications:<ul><li>5+ years of experience in software, platform, cloud or DevOps engineering, including hands-on work running production systems.</li><li>Professional proficiency in spoken and written English.</li><li>Hands-on experience deploying and operating ML or GenAI models in production.</li><li>Strong Python skills. C# or Java a plus.</li><li>Strong Azure experience. Azure AI Foundry, Azure OpenAI, Entra ID and API Management preferred.</li><li>Hands-on experience with CI/CD (Azure DevOps or GitHub Actions), infrastructure-as-code (Bicep/Terraform) and containers (Docker, AKS or Azure Container Apps).</li><li>Experience with MLOps/LLMOps tools and practices for model deployment, evaluation, versioning and monitoring.</li><li>Working knowledge of identity and access management, secrets management, monitoring and logging.</li><li>Strong troubleshooting skills and a track record of keeping production systems reliable.</li><li>Bachelor's degree in Computer Science, Software Engineering, Information Systems or a related technical field.</li></ul> #LI-EG1<h1>SmarterTogether</h1><ul><li>Collaborating at Sensata means working with some of the world’s most talented people in an enriching environment that is constantly pushing towards the next best thing</li><li>Employees work across functions, countries and cultures gaining new perspectives through mutual respect and open communication</li><li> As OneSensata, we are working together to make things work together </li></ul>Click here to view <a href="https://www.sensata.com/sensata-recruitment-privacy-policy">Sensata Recruitment Privacy Statement</a>Click here to view our <a href="https://www.sensata.com/sites/default/files/a/sensata_china_recruitment_privacy_policy.pdf">Sensata Recruitment Privacy Statement for China</a>NOTE:  If you are a current Sensata employee (or one of our Affiliates), please back out of this application and log into Workday via the Company Intranet to apply directly.  Type "FIND JOBS" in the Workday search bar.

Since 1963, Dynapower has provided power electronics solutions, along with an array of aftermarket services focused on continuous reliability and efficiency to an ever-expanding global customer base. We are a trusted leader in all types of power conversion equipment including high power rectifiers, inverters, DC/DC converters, integrated battery energy storage systems and transformers for use in hydrogen, e-mobility, energy storage, industrial, mining, defense and research applications. With headquarters and a 150,000 square-foot vertically integrated manufacturing facility in South Burlington, VT, Dynapower is collaborating with our partners and clients to shift the way our world uses power and advance our resilient, clean energy future.

Senior Platform and Machine Learning Operations Engineer

The Senior Platform and Machine Learning Operations Engineer designs, builds, and enhances the enterprise AI platform that enables the development, deployment, and operation of AI solutions at scale. This role focuses on delivering reusable platform capabilities, automation, integrations, and engineering tools that accelerate AI solution delivery while ensuring security, reliability, and operational excellence.General Responsibilities <ul><li>Designs, develops, tests, deploys, and maintains software for defined products or systems. Writes code, builds reusable modules, and converts business and technical requirements into effective designs.</li></ul><ul><li>Selects appropriate methods, technologies, interfaces, and design patterns within established architecture, security, scalability, and industry standards.</li></ul><ul><li>Participates in code, design, and release reviews; refactors existing code, integrates components, resolves complex defects, and improves application performance.</li></ul><ul><li>Develops automated tests for reliability and regression coverage and contributes to reusable patterns, development standards, build automation, and continuous delivery practices.</li></ul><ul><li>Owns assigned features or technical tasks by estimating effort, identifying risks and dependencies, meeting milestones, and collaborating across functions on development and troubleshooting.</li></ul><ul><li>Documents processes and technical decisions, shares knowledge with peers, evaluates relevant technologies, and supports quality, security, and industry compliance.</li></ul> Experience / Qualifications<ul><li>Relevant work experience or knowledge of the role</li><li>Must be a team player able to work in a fast-paced environment with demonstrated ability to handle multiple competing tasks and demands</li><li>Strong communication skills; oral, written and presentation</li><li>Strong organization, planning and time management skills to achieve results</li><li>Strong personal and professional ethical values and integrity</li><li>Takes ownership of meeting goals and standards</li><li>Proficient in Microsoft Office programs (Outlook, Word, PowerPoint, and Excel)</li><li>Strong interpersonal &amp; collaboration skills to work effectively with all levels of the organization including suppliers and/or external customers</li></ul>Additional Responsibilities:<ul><li>Build and run core components of Sensata's Azure AI platform, including Azure AI Foundry, Azure OpenAI, the LLM gateway, telemetry and shared developer tools, under the direction of the AI Platform Lead.</li><li>Build and maintain Dev/Test/Prod environments, CI/CD pipelines and infrastructure-as-code (Bicep/Terraform) so AI solutions are built, tested and released the same way every time.</li><li>Implement MLOps/LLMOps pipelines for model and prompt deployment, evaluation, versioning, drift and performance monitoring, and rollback.</li><li>Run production operations for platform services, including release management, observability, alerting and incident response.</li><li>Implement identity and access controls, secrets management and responsible AI guardrails. Work with IT on the underlying cloud, network and identity foundations.</li><li>Build reusable templates, SDKs, APIs and automation that help AI engineers and data scientists move from prototype to production quickly.</li><li>Track and optimize platform usage, performance, reliability and cost.</li></ul>  Additional Qualifications:<ul><li>5+ years of experience in software, platform, cloud or DevOps engineering, including hands-on work running production systems.</li><li>Professional proficiency in spoken and written English.</li><li>Hands-on experience deploying and operating ML or GenAI models in production.</li><li>Strong Python skills. C# or Java a plus.</li><li>Strong Azure experience. Azure AI Foundry, Azure OpenAI, Entra ID and API Management preferred.</li><li>Hands-on experience with CI/CD (Azure DevOps or GitHub Actions), infrastructure-as-code (Bicep/Terraform) and containers (Docker, AKS or Azure Container Apps).</li><li>Experience with MLOps/LLMOps tools and practices for model deployment, evaluation, versioning and monitoring.</li><li>Working knowledge of identity and access management, secrets management, monitoring and logging.</li><li>Strong troubleshooting skills and a track record of keeping production systems reliable.</li><li>Bachelor's degree in Computer Science, Software Engineering, Information Systems or a related technical field.</li></ul> #LI-EG1<h1>SmarterTogether</h1><ul><li>Collaborating at Sensata means working with some of the world’s most talented people in an enriching environment that is constantly pushing towards the next best thing</li><li>Employees work across functions, countries and cultures gaining new perspectives through mutual respect and open communication</li><li> As OneSensata, we are working together to make things work together </li></ul>Click here to view <a href="https://www.sensata.com/sensata-recruitment-privacy-policy">Sensata Recruitment Privacy Statement</a>Click here to view our <a href="https://www.sensata.com/sites/default/files/a/sensata_china_recruitment_privacy_policy.pdf">Sensata Recruitment Privacy Statement for China</a>NOTE:  If you are a current Sensata employee (or one of our Affiliates), please back out of this application and log into Workday via the Company Intranet to apply directly.  Type "FIND JOBS" in the Workday search bar.

Senior Platform and Machine Learning Operations Engineer

About the Job

About the Company

Dynapower

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