MLOps Engineer

As an MLOps Engineer, you'll be responsible for the seamless transition of machine learning models from research to production. This involves designing, implementing, and maintaining robust pipelines, ensuring model security, performance, and scalability, while collaborating with data scientists and stakeholders. The role requires experience with Kubernetes, containerization, and ML Experimentation platforms.

Requirements

• Design and maintain scalable pipelines for deploying machine learning models.
• Securely integrate models into production environments.
• Implement monitoring systems to track model performance.
• Develop methods to evaluate model performance and validate accuracy in production.
• Collaborate with data scientists, developers, and stakeholders.
• Create comprehensive documentation.
• Fluent in both written and spoken English.