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Salary
≈ $19k – $39k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 14, 2026. Sensata Technologies scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Sensata Technologies is an industrial technology company that designs and manufactures sensors, sensor-rich solutions and electrical protection components for automotive, heavy vehicle, industrial, aerospace and data center markets, headquartered in Attleboro, Massachusetts. Formed in 2006 when Texas Instruments sold its sensors and controls business, it is listed on the New York Stock Exchange and has engineering and manufacturing sites in Mexico, China, Bulgaria, India, the UK and the US. It hires design, process and firmware engineers, account and business development managers, buyers, financial analysts and engineering placement students.
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

  • 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.
  • Selects appropriate methods, technologies, interfaces, and design patterns within established architecture, security, scalability, and industry standards.
  • Participates in code, design, and release reviews; refactors existing code, integrates components, resolves complex defects, and improves application performance.
  • Develops automated tests for reliability and regression coverage and contributes to reusable patterns, development standards, build automation, and continuous delivery practices.
  • Owns assigned features or technical tasks by estimating effort, identifying risks and dependencies, meeting milestones, and collaborating across functions on development and troubleshooting.
  • Documents processes and technical decisions, shares knowledge with peers, evaluates relevant technologies, and supports quality, security, and industry compliance.

Experience / Qualifications

  • Relevant work experience or knowledge of the role
  • Must be a team player able to work in a fast-paced environment with demonstrated ability to handle multiple competing tasks and demands
  • Strong communication skills; oral, written and presentation
  • Strong organization, planning and time management skills to achieve results
  • Strong personal and professional ethical values and integrity
  • Takes ownership of meeting goals and standards
  • Proficient in Microsoft Office programs (Outlook, Word, PowerPoint, and Excel)
  • Strong interpersonal & collaboration skills to work effectively with all levels of the organization including suppliers and/or external customers

Additional Responsibilities:

  • 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.
  • 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.
  • Implement MLOps/LLMOps pipelines for model and prompt deployment, evaluation, versioning, drift and performance monitoring, and rollback.
  • Run production operations for platform services, including release management, observability, alerting and incident response.
  • Implement identity and access controls, secrets management and responsible AI guardrails. Work with IT on the underlying cloud, network and identity foundations.
  • Build reusable templates, SDKs, APIs and automation that help AI engineers and data scientists move from prototype to production quickly.
  • Track and optimize platform usage, performance, reliability and cost.

Additional Qualifications:

  • 5+ years of experience in software, platform, cloud or DevOps engineering, including hands-on work running production systems.
  • Professional proficiency in spoken and written English.
  • Hands-on experience deploying and operating ML or GenAI models in production.
  • Strong Python skills. C# or Java a plus.
  • Strong Azure experience. Azure AI Foundry, Azure OpenAI, Entra ID and API Management preferred.
  • Hands-on experience with CI/CD (Azure DevOps or GitHub Actions), infrastructure-as-code (Bicep/Terraform) and containers (Docker, AKS or Azure Container Apps).
  • Experience with MLOps/LLMOps tools and practices for model deployment, evaluation, versioning and monitoring.
  • Working knowledge of identity and access management, secrets management, monitoring and logging.
  • Strong troubleshooting skills and a track record of keeping production systems reliable.
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems or a related technical field.

SmarterTogether

  • 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

  • Employees work across functions, countries and cultures gaining new perspectives through mutual respect and open communication

  • As OneSensata, we are working together to make things work together

Click here to view Sensata Recruitment Privacy Statement

Click here to view our Sensata Recruitment Privacy Statement for China

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.

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