AI DevOps Engineer

This role focuses on building and maintaining the infrastructure and pipelines required to support machine learning models and AI applications. The ideal candidate will possess a strong understanding of both DevOps principles and AI/ML workflows, ensuring efficient and reliable deployment and operation of AI-powered solutions.

Key Responsibilities:

Design, build, and maintain CI/CD pipelines for AI/ML models.
Automate infrastructure provisioning and configuration management.
Monitor and troubleshoot AI/ML application performance and reliability.
Implement and maintain security best practices for AI/ML environments.
Collaborate with data scientists and engineers to optimize model deployment.
Manage and scale infrastructure to support growing AI/ML workloads.

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 AI/ML concepts and workflows.
Experience with scripting languages (e.g., Python, Bash).
Strong problem-solving and communication skills.
Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).

About the Company: Optimum Solutions is a technology company specializing in providing innovative solutions to businesses across various sectors. We focus on leveraging cutting-edge technologies to address complex challenges and drive operational efficiency.