ML Platform Engineer
Job Description & How to Apply Below
Become a pivotal part of Future Fit AI’s Data team as a Staff ML Platform Engineer. Focus on building robust ML and LLM platforms while addressing real-world workforce issues.
In this key role, you will oversee the entire ML platform, ensuring its reliability and efficiency. Your responsibilities include building, deploying, and managing machine learning models, as well as optimizing operations for cost-effectiveness. This position merges both development and operations, emphasizing accountability for model performance and troubleshooting failures.
Key Responsibilities:
• Build and maintain ML and LLM-powered platforms
• Provision and manage compute environments
• Deploy and optimize machine learning models
• Monitor model performance and troubleshoot issues
• Ensure seamless transition from experiments to production
Requirements:
• Proven experience in MLOps and platform engineering
• Strong grasp of ML model deployment and management
• Familiarity with cost optimization in ML workflows
• Experience in monitoring and evaluating model performance
• Background in data science or related field
Drive the transformation of workforce development with cutting-edge ML technologies at Future Fit AI.
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