Lead Machine Learning Engineer-MLOps

Job summary

JPMorganChase is seeking a Senior MLOps Engineer to collaborate with Data Scientists on building and deploying ML models using a modern MLOps stack.

Qualifications

• Extensive experience in Python and cloud computing, preferably AWS.
• Understanding of quantization techniques for LLMs.
• Experience in systems engineering fundamentals: caching, CUDA, autoscaling.
• Knowledge and passion for data science fundamentals.
• Experience in monitoring tools for model input/output.
• Operational experience in big data/ML tools.
• Solid grounding in engineering fundamentals.

Responsibilities

• Build, deploy, and maintain pipelines for distributed training on GPU-enabled clusters.
• Develop and manage pipelines for high-throughput, real-time and batch inference.
• Implement quantization techniques and deploy large language models.
• Oversee management and optimization of vector databases.
• Establish monitoring and observability pipelines for system health.
• Collaborate with teams to integrate new technologies.
• Partner with teams to define scalable technical solutions.

Skills

Degrees

Relocation