Site Reliability Engineer

Reposted 3 Hours Ago
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Chennai, Tamil Nadu
In-Office
Junior
Hardware • Information Technology • Other • Software • Analytics
The Role
The Site Reliability Engineer will assist in deploying and maintaining AI/ML systems, support CI/CD pipeline development, monitor performance, and contribute to automation and collaboration with ML engineers.
Summary Generated by Built In

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. 

Trimble’s Privacy Policy

If you need assistance or would like to request an accommodation in connection with the application process, please contact [email protected].

Top Skills

Azure Devops
Azure Ml
Docker
Elk Stack
Git
Grafana
Kubernetes
Azure
Prometheus
Python
Terraform
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The Company
HQ: Sunnyvale, CA
10,001 Employees

What We Do

Trimble is transforming the way the world works by delivering products and services that connect the physical and digital worlds. Core technologies in positioning, modeling, connectivity and data analytics enable customers to improve productivity, quality, safety and sustainability. From purpose built products to enterprise lifecycle solutions, Trimble software, hardware and services are transforming industries such as agriculture, construction, geospatial and transportation. For more information about Trimble (NASDAQ:TRMB), visit: www.trimble.com.

Trimble products are used in over 141 countries around the world. Employees in more than 30 countries, coupled with a highly capable network of dealers and distribution partners serve and support customers worldwide. As the market leader in most of our businesses, we offer a compelling value proposition to our customers based on productivity, return on investment and environmental stewardship. Come position yourself with an innovative industry leader and position yourself for success.

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