AI Systems & Machine Learning Operations; MLOps Engineer

About the Role

Design, deploy, and manage scalable AI platforms and MLOps pipelines, ensuring the performance, reliability, scalability, and security of AI systems throughout their lifecycle.

• Design, deploy, and maintain scalable AI platforms and MLOps pipelines.
• Manage AI infrastructure, deployment, and CI/CD pipelines.
• Monitor AI systems and machine learning models to ensure performance, reliability, and availability.
• Ensure the scalability, security, and operational stability of AI platforms.
• Automate model deployment, monitoring, and lifecycle management.
• Collaborate with data scientists and software engineers to operate AI solutions.
• Troubleshoot and optimize AI infrastructure and production environments.

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• 3–8 years of relevant experience in AI systems engineering, MLOps, or machine learning platform engineering.
• Strong experience with Python, Docker, Kubernetes, and cloud platforms.
• Experience with CI/CD pipelines and machine learning frameworks.
• Experience managing AI infrastructure and deploying machine learning solutions.

• Experience with Azure ML, AWS Sage Maker, or Vertex AI.
• Experience with Terraform or other Infrastructure as Code (IaC) tools.