This listing doesn't post a salary. Most similar roles pay
$195,787–$254,750.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1117 open roles
on FindRole.
Listed pay typically runs
$186,160–$215,000
across 7 roles with salary data.
Lead Machine Learning Engineer-MLOps will join the Recommendation Engine team to build and deploy machine learning models on a modern MLOps stack. This role involves building and maintaining pipelines for distributed model training on GPU-enabled clusters, managing batch and real-time inference, performing hyperparameter tuning at scale, and implementing quantization techniques for large language models. The position also requires overseeing vector database optimization and establishing monitoring and observability pipelines to ensure system health. Key technologies include Python, AWS, Ray, DuckDB, Spark, vllm/SGLang, and the Docker ecosystem with Kubernetes or ECS. Candidates will utilize Airflow or Kubeflow for DAG orchestration while addressing technical challenges in high-throughput, low-latency applications. The work focuses on the Personalization and Insights product area, specifically building systems that power personalized experiences across various banking and merchant offer channels.
Python
AWS
vLLM
Ray
Kubernetes
Docker
CUDA
Quantization
Transformer Models
Reinforcement Learning
Vector Databases
Distributed Training
Model Monitoring
ECS