Experienced MLOps Specialist

About

Shape the future as an Experienced MLOps Specialist. Take charge of building and managing scalable machine learning systems in a hybrid work environment, optimizing models for peak performance.

This senior-level position engages in end-to-end MLOps pipeline creation, fostering collaboration with data scientists. You will ensure ML models are efficiently deployed, monitored, and refined continuously. Your background in cloud platforms and container technologies will enhance infrastructure reliability and security.

Be at the forefront of machine learning operations, optimizing systems for scalability and effectiveness in a collaborative, hybrid workplace.

Responsibilities

• Implement end-to-end MLOps pipelines for managing ML models
• Collaborate with data scientists for model optimization
• Establish automated pipelines for model deployment
• Monitor ML models with advanced logging and tracking
• Containerize applications using Docker; manage deployments with Kubernetes

Requirements

• 5+ years in relevant engineering or MLOps roles
• Proficient in Python and at least one major programming language
• Strong experience with MLOps tools and platforms
• Familiarity with cloud ML services (Azure, AWS, GCP)
• Excellent communication and teamwork skills