AI/ML Engineer

3 days ago

Chennai, Tamil Nadu, India beBeeDevops Full time US$ 1,00,000 - US$ 1,40,000

We are seeking a highly motivated and experienced AI/ML Engineer to join our team in the deployment and maintenance of AI/ML systems in production environments.

Key Responsibilities
  • Assist in the deployment and maintenance of machine learning models under direct supervision, gaining hands-on experience with 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.
Requirements
  • Minimum 2-5 years of professional experience 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.).
  • 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.

This is an exciting opportunity to work within a dynamic team that values reliability and continuous improvement. We offer a competitive salary and benefits package, as well as opportunities for growth and professional development.

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