Lead/ Staff Devops Engineer - (ai / Ml Ops)
- Trimble
- 6 - 11 years
- Chennai
- 4 months ago
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Job Description
Job Location: Chennai, India
Job Title: Lead / Staff DevOps Engineer (AI Ops / ML Ops)
Work Mode: Onsite
Experience Level: Openings in Multiple Levels
Interested candidates will need to fill in their application using the form link below to participate in the Recruitment drive (https://forms.gle/KkUkJscs7D4VjrYKA). 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 guidance from Technical Leadership team.
- 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):
- 6 to 14 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.
- Expert level experience in working with Microsoft Azure and its services including ML/AI (Azure ML, Azure DevOps, etc.) with exposure to Design, development, and/or implementation of cloud architectures, including the front-end platforms, storage, networks, and servers needed for the cloud infrastructure. - Must Have
- Highly proficient in Python or other scripting languages (Shell / Bash / PowerShell / Perl) for automation scripting and system integration - Must have
- Strong experience of containerization technolog(Docker) and orchestration concepts (Kubernetes).
- Strong experience of DevOps principles and practices, with handson working experience in of CI/CD and system administration.
- Strong experience with CI/CD tools such as Jenkins, GitHub Actions, or ArgoCD.
- Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, New Relic).
- Hands-on with version control systems (Git) and collaborative development workflows.
- Experience with data engineering concepts and technologies (SQL, NoSQL, ETL pipelines).
- Experience with MLOps tools and frameworks (Kubeflow, MLflow, Weights & Biases, or similar).
Preferred:
- Experience with other cloud platforms (GCP, AWS) is a plus.
- Hands-on experience in machine learning concepts and the ML model lifecycle from development to production.
- Experience of AIOps and incident management platforms like Moogsoft, BigPanda, PagerDuty, or Opsgenie.
- Working knowledge with model serving frameworks (TensorFlow Serving, TorchServe, ONNX Runtime).
- Working knowledge of security best practices for ML systems and data governance.Role & responsibilities
Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: DevOpsRole: DevOps Consultant / ArchitectEmployement Type: Full timeContact Details:
Company: TrimbleLocation(s): Chennai
Keyskills: kubernetes python Azure docker mlops aiops cloud automation Terraform Ansible jenkins Site Reliability Engineering AWS
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