MLOps Engineer

New Mind AI is seeking a skilled MLOps Engineer to join their team. The ideal candidate will have a strong understanding of MLOps methodologies and principles, with expertise in building and maintaining robust MLOps infrastructure. The role requires proficiency in Python and Bash programming languages, experience with containerization technologies like Docker and Kubernetes, and familiarity with various MLOps frameworks and tools.

Requirements

• Design and implement scalable MLOps infrastructure
• Develop and maintain monitoring and configuration management tools
• Collaborate with data scientists and software engineers to build scalable and efficient data pipelines and model training and deployment systems
• Install and configure hardware, operating systems, and related software for tuning computing resources
• Prepare development and production platforms for Machine Learning Operations with containerization technologies
• Communicate with a team of data scientists, machine learning engineers, and architects to document processes and ensure smooth collaboration
• Troubleshoot and debug issues related to MLOps infrastructure and deployment processes
• Take offline models built by Machine Learning Engineers and turn them into real machine learning production systems
• Stay up-to-date with the latest trends and technologies in MLOps, LLMOps, machine learning, and artificial intelligence

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Tuition Reimbursement
• Relocation Assistance