Senior Machine Learning/AI Operations Engineer
Cambridge Mobile Telematics (company site, opens in a new tab)4+ yrsChennaiHybridDirect career pageEst. 16–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and operate scalable AI/ML infrastructure and workflows to support Engineering and Machine Learning teams, focusing on cost efficiency, reliability, and speed.
- Operationalize and monitor AI developer tools, LLM applications, and machine learning training/inference with controls in collaboration with Compliance, Security, and SRE teams.
- Build automation for reproducible workflows, versioning, experiment tracking, deployment pipelines, and incident response across AI/ML systems on AWS and Kubernetes.
Minimum Requirements
- Bachelor's degree or equivalent experience in a related field.
- 4+ years of relevant work experience; AI/ML Operations Engineer experience is a plus.
- Hands-on experience with AI/ML production infrastructure, including LLM integration, model training, deployment, monitoring, and big data tools (Databricks, SageMaker, Spark).
- Proficiency in Python, SQL, shell scripting, containerization, Kubernetes, AWS services, and infrastructure as code tools (Terraform, Helm, Argo CD).
Ideal Candidate Profile
- Experienced in independently designing, delivering, and operating production AI/ML systems with ownership of technical decisions and operational improvements.
- Able to collaborate across Engineering, Machine Learning, Compliance, Security, and SRE to translate requirements into AI/ML operational capabilities and controls.
- Skilled in automation and monitoring of AI workflows and infrastructure, with strategic focus on scalability, security, cost optimization, and reliability.