Description

Design, implement, and maintain CI/CD pipelines and infrastructure for ML model deployment and monitoring.

This role is on-site.

Responsibilities

• Design and implement build, verify, deployment, and monitoring standards for ML pipelines.
• Automate infrastructure provisioning, deployment, and monitoring in cloud environments using Python, Bash, or PowerShell.
• Select, configure, and manage CI/CD tools, specifically Jenkins, to support Agile delivery workflows.
• Monitor system performance, identify bottlenecks, and perform root cause analysis to ensure high availability.
• Mentor junior team members and coordinate with cross-functional teams to improve operational processes.

Required Skills

• 8+ years of experience in MLOps, ML model deployment, and production management.
• Hands-on expertise with CI/CD tools, particularly Jenkins, GitLab, or similar.
• Strong proficiency in scripting languages: Python, Bash, and PowerShell.
• Experience managing cloud infrastructure on AWS, Azure, or GCP.
• Ability to automate infrastructure provisioning and ML pipeline deployments.
• Knowledge of security, backup, redundancy strategies, and cybersecurity measures.
• Familiarity with Agile methodology and collaborative practices.
• Bachelor's degree in Computer Science, Engineering, or a related field.

Key Skills

Education

Any Graduate