ML Systems Engineer - Fully Remote | Upto

10/hr

10/hour Location: Remote Commitment: 40 hours/week Role Responsibilities Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps , training infrastructure, and ML framework-level topics . Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems. Evaluate MLOps tasks and solutions and provide clear, written technical feedback. Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks. Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have 2+ years of dedicated professional experience in ML infrastructure , MLOps , or ML systems engineering at a recognized, top…