Full-Time MLOP DevOPs Engineer

Responsibilities

• Design, implement, and maintain CI/CD pipelines for deploying machine learning models.
• Collaborate with data scientists to streamline the transition of models from development to production.
• Monitor and optimize the performance of deployed machine learning models in real-time environments.
• Automate the deployment processes using tools such as Docker, Kubernetes, and Terraform.
• Ensure high availability, reliability, and security of machine learning systems in production.
• Conduct system performance tuning and troubleshooting to enhance overall efficiency.
• Develop and maintain documentation related to the deployment and operational processes.

Requirements

• Bachelor's degree in Computer Science, Engineering or related field.
• Proven experience in a DevOps role with a focus on machine learning deployments.
• Proficiency in programming languages such as Python, R, or Java.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
• Familiarity with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
• Excellent problem-solving skills and the ability to work in a collaborative team environment.