Hiring: Executive Director Machine Learning Engineer-MLOps Company: JPMorganChase Location: Palo Alto, CA Job Posted Time: 2026-09-17 09:37:49 Employment Type: On-site Target Skills & Keywords : AWS, Docker, ECS, Fine-tuning, Kubernetes, LLM, MLOps, Machine Learning, Python, Reinforcement Learning, User Experience, vLLM About the job Experience: •BS in Computer Science or related Engineering field with 10+ years of experience Or MS degree in Computer Science or related Engineering field with 6+ years experience. •10+ years of experience Or MS degree in Computer Science or related Engineering field with 6+ years experience. Required Skills: •Build, deploy, and maintain robust pipelines for distributed training on GPU-enabled clusters to support scalable machine learning workflows. •Develop and manage high-volume real-time and batch inference systems, ensuring optimal performance and reliability. •Implement quantization techniques and deploy open-weight large language models (LLMs) on modern serving stacks such as vLLM on Ray to maximize efficiency and resource utilization. •Oversee the management and optimization of vector databases to support advanced AI and machine learning applications. •Establish and maintain comprehensive monitoring and observability pipelines to ensure system health, performance, and rapid issue resolution. •Partner cross-functionally with cross-functional teams to integrate new technologies and continuously improve existing infrastructure. •Partner with product, architecture, and other engineering teams to define scalable and performant technical solutions. •Required Qualifications, Capabilities, And Skills Compensation: •$223,000 - $325,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!