Lead DevOps Engineer (AI / ML Ops)
Lead DevOps Engineer (AI / ML Ops)
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Job Description
Job Location: Chennai India
Job Title: Lead DevOps Engineer (AI Ops / ML Ops)
Work Mode: Onsite
What You Will Do
This role offers an exciting opportunity to work in AI/ML Development and Operations (DevOps) engineering working within a dynamic team that values reliability and continuous improvement. The successful candidate will contribute to the deployment and maintenance of AI/ML systems in production gaining hands-on experience with MLOps best practices and infrastructure automation. This position provides a structured environment for developing core competencies in ML system operations DevOps practices and production ML monitoring with guidance from seasoned professionals.
Assist in the deployment and maintenance of machine learning models in production environments under direct supervision learning containerization technologies like Docker and Kubernetes.
Support CI/CD pipeline development for ML workflows including model versioning automated testing and deployment processes using tools like Azure DevOps.
Monitor ML model performance data drift and system health in production environments implementing basic alerting and logging solutions.
Contribute to infrastructure automation and configuration management for ML systems learning Infrastructure as Code (IaC) practices with tools like Terraform or CloudFormation.
Collaborate with ML engineers and data scientists to operationalize models ensuring scalability reliability and adherence to established MLOps procedures and best practices.
What Skills & Experience You Should Bring
Required:
5 to 8 Years of professional experience in in DevOps MLOps or systems engineering environment.
Bachelors degree in Computer Science Engineering Information Technology or a closely related technical field. Trimbles Professional ladder typically requires four or more years of formal education.
Expertise in working with Microsoft Azure and its services including ML/AI (Azure ML Azure DevOps etc.) - Must Have
Highly proficient in Python or other scripting languages (Shell / Bash / PowerShell / Perl) for automation scripting and system integration (Must have)
Strong experience of containerization technologies (Docker) and orchestration concepts (Kubernetes).
Strong experience of DevOps principles and practices with understanding of CI/CD concepts and system administration.
Strong experience with CI/CD tools such as Jenkins GitHub Actions or ArgoCD.
Experience with monitoring and observability tools (Prometheus Grafana Datadog New Relic).
Hands-on with version control systems (Git) and collaborative development workflows.
Experience with data engineering concepts and technologies (SQL NoSQL ETL pipelines).
Experience with MLOps tools and frameworks (Kubeflow MLflow Weights & Biases or similar).
Preferred:
Experience with other cloud platforms (GCP AWS) is a plus.
Hands-on experience in machine learning concepts and the ML model lifecycle from development to production.
Experience of AIOps and incident management platforms like Moogsoft BigPanda PagerDuty or Opsgenie.
Working knowledge with model serving frameworks (TensorFlow Serving TorchServe ONNX Runtime).
Working knowledge of security best practices for ML systems and data governance.
About Our Division: Construction Management Solutions (CMS)
Trimbles Construction Management Solutions (CMS) division is dedicated to transforming the construction industry. We provide technology solutions that streamline and optimize workflows for preconstruction project management and field operations. By connecting the physical and digital worlds we help our customers improve productivity efficiency and project outcomes.
Employment Type
Full-Time
