Senior Machine Learning/AI Operations Engineer (Chennai)

Senior Machine Learning/AI Operations Engineer (Chennai)

13 Oct
|
Cambridge Mobile Telematics
|
Chennai

13 Oct

Cambridge Mobile Telematics

Chennai

As a Senior Machine Learning/AI Operations Engineer, you will develop and operate the infrastructure, tooling, and workflows that enable effective use of AI and Machine Learning at CMT. Your responsibilities will span operationalizing AI developer tools and model services, automating model workflows, and improving reliability, observability, and cost efficiency. You will partner with Engineering, Machine Learning, Compliance, Security Engineering, and SRE to translate their requirements into operational capabilities and controls.

You will apply reproducible workflows, evaluation, controlled deployment, monitoring, and incident response to existing developer harnesses and coding tools, large language model (LLM) applications and agents, and machine learning training and inference. Current priorities emphasize AI usage across engineering teams, with shared operational ownership of model development and release infrastructure. The role requires hands-on expertise in scalable AI/ML systems, independent technical judgment, and the ability to turn operational needs into reusable capabilities.





CMT is looking for a cooperative, customer-committed, and creative Senior Machine Learning/AI Operations Engineer who wants to join us in making roads safer by making drivers better

Responsibilities:

• Develop and optimize scalable AI/ML infrastructure, ensuring a balance between cost-efficiency and speed, with the goal of empowering Engineering and Machine Learning teams

• Operationalize AI developer harnesses, coding tools, and shared model services by tuning model configurations, integrating tools into engineering workflows, evaluating their effectiveness, and implementing usage controls agreed with Compliance and Security Engineering

• Optimize model access and inference through routing, rate limits, retries, timeouts, and fallbacks. Monitor token usage, latency, efficiency, throughput, and costs. Attribute usage and costs by team and workload, and implement budgets, quot

📌 Senior Machine Learning/AI Operations Engineer (Chennai)
🏢 Cambridge Mobile Telematics
📍 Chennai

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