{"id":2519564,"url":"https://alion.io/job/sensata-technologies-senior-platform-and-machine-learning-operations-engineer","title":"Senior Platform and Machine Learning Operations Engineer","company":{"id":5071,"name":"Sensata Technologies","domain":"sensata.com","url":"https://alion.io/company/sensata","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bicep","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Microsoft Office","optional":false},{"name":"OpenAI","optional":false},{"name":"Outlook","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-14T10:37:21Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T15:04:11Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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\nDesigns, 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.\nSelects appropriate methods, technologies, interfaces, and design patterns within established architecture, security, scalability, and industry standards.\nParticipates in code, design, and release reviews; refactors existing code, integrates components, resolves complex defects, and improves application performance.\nDevelops automated tests for reliability and regression coverage and contributes to reusable patterns, development standards, build automation, and continuous delivery practices.\nOwns assigned features or technical tasks by estimating effort, identifying risks and dependencies, meeting milestones, and collaborating across functions on development and troubleshooting.\nDocuments processes and technical decisions, shares knowledge with peers, evaluates relevant technologies, and supports quality, security, and industry compliance.\nExperience / Qualifications\nRelevant work experience or knowledge of the role\nMust be a team player able to work in a fast-paced environment with demonstrated ability to handle multiple competing tasks and demands\nStrong communication skills; oral, written and presentation\nStrong organization, planning and time management skills to achieve results\nStrong personal and professional ethical values and integrity\nTakes ownership of meeting goals and standards\nProficient in Microsoft Office programs (Outlook, Word, PowerPoint, and Excel)\nStrong interpersonal & collaboration skills to work effectively with all levels of the organization including suppliers and/or external customers\nAdditional Responsibilities:\nBuild 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.\nBuild 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.\nImplement MLOps/LLMOps pipelines for model and prompt deployment, evaluation, versioning, drift and performance monitoring, and rollback.\nRun production operations for platform services, including release management, observability, alerting and incident response.\nImplement identity and access controls, secrets management and responsible AI guardrails. Work with IT on the underlying cloud, network and identity foundations.\nBuild reusable templates, SDKs, APIs and automation that help AI engineers and data scientists move from prototype to production quickly.\nTrack and optimize platform usage, performance, reliability and cost.\nAdditional Qualifications:\n5+ years of experience in software, platform, cloud or DevOps engineering, including hands-on work running production systems.\nProfessional proficiency in spoken and written English.\nHands-on experience deploying and operating ML or GenAI models in production.\nStrong Python skills. C# or Java a plus.\nStrong Azure experience. Azure AI Foundry, Azure OpenAI, Entra ID and API Management preferred.\nHands-on experience with CI/CD (Azure DevOps or GitHub Actions), infrastructure-as-code (Bicep/Terraform) and containers (Docker, AKS or Azure Container Apps).\nExperience with MLOps/LLMOps tools and practices for model deployment, evaluation, versioning and monitoring.\nWorking knowledge of identity and access management, secrets management, monitoring and logging.\nStrong troubleshooting skills and a track record of keeping production systems reliable.\nBachelor's degree in Computer Science, Software Engineering, Information Systems or a related technical field.\nSmarterTogether\nCollaborating 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\n\nEmployees work across functions, countries and cultures gaining new perspectives through mutual respect and open communication\n\nAs OneSensata, we are working together to make things work together\n\nClick here to view Sensata Recruitment Privacy Statement\nClick here to view our Sensata Recruitment Privacy Statement for China\nNOTE: 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. 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