AI Ops - Engineer II

Job Location: Chennai India

Job Title: DevOps Engineer II (AI Ops / ML Ops)

Work Mode: Onsite

Our Department: 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.

Are you passionate about deploying monitoring and scaling machine learning systems in production environments and eager to contribute to robust AI infrastructure within a collaborative team

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 direct guidance from experienced 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:

• 2 to 5 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.

• Experience with Microsoft Azure and its services including ML/AI (Azure ML Azure DevOps etc.) Must Have

• Foundational knowledge of DevOps principles and practices with understanding of CI/CD concepts and basic system administration.

• Proficiency with Python or other scripting languages (Shell / Bash / PowerShell / Perl) for automation scripting and system integration.

• Understanding of containerization technologies (Docker) and basic orchestration concepts (Kubernetes fundamentals).

• Familiarity with version control systems (Git) and collaborative development workflows.

• Basic understanding of machine learning concepts and the ML model lifecycle from development to production.

Preferred:

• Familiarity with MLOps tools and frameworks (MLflow Kubeflow DVC or similar).

• Basic experience with monitoring and observability tools (Prometheus Grafana ELK stack).

• Understanding of Infrastructure as Code (IaC) tools like Terraform or Ansible.

• Experience with Windows/Linux system administration and command-line tools.

• Knowledge of database systems and data pipeline technologies.

• Exposure to model serving frameworks (TensorFlow Serving TorchServe ONNX Runtime).

• Basic understanding 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.