Description

You bridge AI development and operations, ensuring models and systems deploy, monitor, and maintain reliably in production.

Responsibilities

• Implement version control for code, data, and models using GitLab, SonarQube, and Jenkins.
• Design blue/green deployment strategies leveraging AI capabilities.
• Automate builds, scans, and deployments, including vulnerability remediation.
• Develop and test AI capabilities using model validation tests.

Required Skills

• Bachelor's degree in Computer Science.
• 7+ years of experience in DevSecOps or Site Reliability Engineering.
• Proficiency in Python or Java.
• Hands-on experience with AWS, Azure, or GCP.
• Understanding of ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with CI/CD tools (Jenkins, GitLab CI, Artifactory).
• Hands-on experience building and deploying Agentic capabilities using AI Agentic tools.
• Hands-on knowledge of AI tools, models, and practical use case implementation.

Key Skills

Education

Bachelor's degree in Computer Science