Lead ML Ops Engineer, Real-Time Personalization

JPMorgan Chase & Co.; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Senior MLOps engineer in New York to work closely with Data Scientists. The role involves building robust pipelines for distributed model training and deploying models in a modern MLOps stack.

Responsibilities include managing machine learning workflows and ensuring system performance. The ideal candidate will have extensive experience in Python and cloud computing, particularly AWS, along with a strong foundation in data science.

Qualifications

• 6+ years experience with BS or 4+ years with MS in Computer Science.
• Solid experience in Python and AWS.
• Knowledge of quantization techniques for LLMs.

Responsibilities

• Build and maintain pipelines for distributed training on GPU clusters.
• Manage high-throughput, real-time inference pipelines.
• Implement quantization techniques for large language models.

Skills

Python

Cloud Computing (AWS)

Data Science Fundamentals

Systems Engineering Fundamentals

Education

BS in Computer Science or related Engineering field

MS in Computer Science or related Engineering field

Tools

Ray

DuckDB

Spark

Docker

Kubernetes

Job description

JPMorgan Chase & Co. is seeking a Senior MLOps engineer in New York to work closely with Data Scientists. The role involves building robust pipelines for distributed model training and deploying models in a modern MLOps stack.

Responsibilities include managing machine learning workflows and ensuring system performance. The ideal candidate will have extensive experience in Python and cloud computing, particularly AWS, along with a strong foundation in data science.