About this role
Job Location: Chennai, India
Job Title: Site Reliability Engineer (AI Ops / ML Ops)
Work Mode: Onsite
Our Department: Trimble's 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:
1 to 2 years of professional experience in in DevOps, MLOps, or systems engineering environment.
Bachelor's degree in Computer Science, Engineering, Information Technology, or a closely related technical field. Trimble's 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)
Trimble's 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.
How to Apply: Please submit an online application for this position by clicking on the ‘Apply Now’ button located in this posting.
Join a Values-Driven Team: Belong, Grow, Innovate.
At Trimble, our core values of Belong, Grow, and Innovate aren't just words—they're the foundation of our culture. We foster an environment where you are seen, heard, and valued (Belong); where you have an opportunity to build a career and drive our collective growth (Grow); and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual. Become part of a team where your contributions truly matter.
If you need assistance or would like to request an accommodation in connection with the application process, please contact [email protected].
Other facts
About Trimble Inc.
At Transporeon, a Trimble company, our mission is to bring transportation in sync with the world. We power the largest global freight network of more than 1,400 shippers and retailers and more than 150,000 carriers and logistics service providers. Every day they execute more than 110,000 transports on our platform and book more than 100,00 dock appointments for loading and unloading. In the course of one year, roughly €55bn in freight is being processed on our platform.
Our leading transportation management platform connects all actors along the supply chain. It facilitates collaboration between the different parties, helps to automate manual processes and provides valuable real-time insights. The modular Application Hubs solve specific logistics challenges and range from freight sourcing over transport execution and dock and yard management to freight audit and payment. Data hubs provide insights into logistics operations, market developments and carbon emissions, next to ensuring transparency in the supply chain through visibility. Our platform works across all geographies and all modes of transportation, empowering logistics teams to move, manage and monitor freight.
Transporeon is headquartered in Ulm, Germany, and maintains 18 offices around the globe with over 1,400 employees across 27 countries. For more information, visit: www.transporeon.com
What you'll do
- The successful candidate will assist in the deployment and maintenance of machine learning models in production environments, gaining hands-on experience with MLOps best practices. They will also support CI/CD pipeline development and monitor ML model performance.
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