Site Reliability Engineer - AI and Machine Learning Operations

Site Reliability Engineer

Shape the Future of Intelligent Operations as a Site Reliability Engineer (AI Ops / ML Ops)

Are you passionate about deploying, monitoring, and scaling machine learning systems in production environments? Trimble's Construction Management Solutions (CMS) division is looking for a driven, early-career Site Reliability Engineer to join our high-performing team in Chennai. In this role, you will help build and manage robust AI infrastructure, bridging the gap between cutting-edge data science and resilient cloud operations.

About Us:

Dedicated to the world’s tomorrow, Trimble is a technology company delivering solutions that enable our customers to work in new ways to measure, build, grow and move goods for a better quality of life. Core technologies in positioning, modeling, connectivity and data analytics connect the digital and physical worlds to improve productivity, quality, safety, transparency and sustainability. From purpose-built products and enterprise lifecycle solutions to industry cloud services, Trimble is transforming critical industries such as construction, geospatial, agriculture and transportation to power an interconnected world of work. For more information about Trimble (NASDAQ: TRMB), visit: www.trimble.com

About Our Division: Construction Management Solutions (CMS)

Trimble's 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.

What Makes This Role Great:

This role offers an exceptional entry point into the highly sought-after field of AI Ops and ML Ops. Working within a dynamic team that values reliability and continuous improvement, you will gain hands-on experience with production-level infrastructure automation and MLOps best practices. With direct guidance from experienced engineering professionals, you will have a structured environment to accelerate your technical skills, operationalize advanced ML models, and work on systems powering global enterprise platforms.

Key Exciting Responsibilities

• Production ML Deployment: Assist in the deployment and maintenance of machine learning models in production under direct supervision, building skills in containerization and orchestration architectures.

• CI/CD & Pipeline Management: Support the development of robust continuous integration and deployment pipelines for ML workflows, including model versioning, automated testing, and release processes.

• Model & Infrastructure Observability: Monitor production ML model performance, detect data drift, and track system health by implementing foundational logging, alerting, and metrics solutions.

• Infrastructure as Code (IaC): Contribute to infrastructure automation and configuration management for machine learning workloads, learning to treat infrastructure as software.

• Cross-Functional Collaboration: Partner closely with ML engineers and data scientists to operationalize complex models, ensuring reliability, scale, and strict adherence to established operational patterns.
  

Essential Skills & Experience

• Professional Experience: 1 to 2 years of professional experience in a DevOps, MLOps, or systems engineering environment.

• Education: Bachelor's degree in Computer Science, Engineering, Information Technology, or a closely related technical field.

• Cloud Core Ecosystem (Must-Have): Direct experience with Microsoft Azure cloud platforms and its specialized ecosystem services (such as Azure ML and Azure DevOps).

• Automation Scripting: Proficiency with Python or other scripting languages (Shell / Bash / PowerShell) for rapid system integration and task automation.

• Containerization & Tools: Foundational understanding of containerization (Docker), basic orchestration concepts (Kubernetes fundamentals), and version control system workflows (Git).

• Core Conceptual Literacy: Solid baseline knowledge of fundamental DevOps principles (CI/CD, system administration) and a basic understanding of the end-to-end machine learning model lifecycle.
  

Bonus Points For:

• MLOps Frameworks: Familiarity with MLOps tracking tools and open-source frameworks (MLflow, Kubeflow, DVC, or similar).

• Observability Tooling: Basic experience with monitoring software suites (Prometheus, Grafana, ELK stack).

• Infrastructure Automation: Exposure to Infrastructure as Code (IaC) configuration tools like Terraform or Ansible.

• Data & Runtime Frameworks: Knowledge of database systems, data pipeline technologies, or model serving frameworks (TensorFlow Serving, TorchServe, ONNX Runtime).

• Operating Systems & Governance: Experience with cross-platform (Windows/Linux) command-line administration and a basic understanding of cloud security best practices for AI workloads.
  

Logistics:

• Location: Chennai, India

• Work Mode: Onsite

• Job Type: Full-Time
  

Why You'll Love Working With Us

At Trimble, we're not just a company that "does good"—we are a team dedicated to making a tangible, positive Real-World Impact. We build innovative solutions designed to solve the world's most critical challenges. From construction sites to transportation hubs, our work tangibly improves how people live, build, move, and grow.

• You'll work on projects that truly matter: Our purpose-driven culture means you'll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide.

• Collaborate with like-minded people: Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging.

• Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. You'll find an entrepreneurial spirit where success is often "self-authored," empowering proactive "doers."

• Enjoy true flexibility: We offer flexible work arrangements, which are a significant driver for employees joining and staying with us.

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. 

Candidate Privacy Notices by Country

If you need assistance or would like to request an accommodation in connection with the application process, please contact careers@trimble.com.