Key Responsibilities

• Build and maintain CI/CD pipelines for ML model deployment
• Automate model training, testing, and monitoring workflows
• Manage containerized ML infrastructure using Docker and Kubernetes
• Collaborate with data science teams to productionize models
• Monitor model performance and infrastructure health in production

Requirements

• Strong experience with MLOps tools and practices
• Proficiency in Python and CI/CD pipeline design
• Experience with Docker, Kubernetes, and cloud ML platforms
• Must be a local candidate able to work hybrid onsite in Iselin, NJ
• Strong communication and problem-solving skills

Skills Required