DevOps Engineer

1 day ago

Chennai, Tamil Nadu, India Trimble Full time ₹ 2,00,000 - ₹ 12,00,000 per year

Job Location: Chennai, India

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

Work Mode: Onsite

Recruitment Drive(Invite Only): Sep 11 & Sep 12, 2025

Interested candidates will need to fill in their application using the form link below to participate in the Recruitment ). Please note this is invite only recruitment drive, so only shortlisted candidates will receive the link.

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.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a closely related technical field.
  • 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 - Must Have
  • Understanding of containerization technologies (Docker) and basic orchestration concepts (Kubernetes fundamentals) - Must Have
  • 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.

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