DevOps MLOps Platform Engineer

This role focuses on designing, building, and maintaining robust and scalable DevOps and MLOps platforms to support machine learning initiatives. The ideal candidate will possess a strong understanding of DevOps principles, automation tools, and cloud technologies, coupled with experience in streamlining the ML lifecycle from development to deployment and monitoring.

Key Responsibilities:

Design and implement CI/CD pipelines for machine learning models.
Automate infrastructure provisioning and configuration management.
Develop and maintain monitoring and alerting systems for ML platforms.
Collaborate with data scientists and engineers to optimize model deployment processes.
Ensure the security and compliance of ML platforms.
Troubleshoot and resolve issues related to DevOps and MLOps infrastructure.

Requirements/Qualifications:

Experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes).
Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
Understanding of machine learning workflows and model deployment techniques.
Strong scripting skills (e.g., Python, Bash).
Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
Excellent problem-solving and communication skills.

About the Company: Insight Global is a staffing and recruiting firm that connects talented individuals with leading organizations across various industries. They specialize in providing comprehensive workforce solutions to meet the evolving needs of businesses.