Senior ML Platform Engineer - Scalable, Secure AI Tools

JPMorgan Chase & Co.; New York (NY); On-site; USD 130,000 - 160,000; Full time

Job summary

A leading financial services firm is seeking a Senior Lead Software Engineer - ML to join their agile team in New York. In this role, you will design and maintain scalable machine learning platforms that support end-to-end workflows. The ideal candidate will have over 5 years of experience in building and deploying ML solutions, proficiency in Python and related ML frameworks, and a solid understanding of MLOps practices. This position offers opportunities for innovation and collaboration in a dynamic environment.

Qualifications

• 5+ years of experience building, deploying, and maintaining machine learning platforms.
• Hands-on proficiency in Python and ML frameworks.
• Experience with cloud-based ML platforms or on-prem infrastructure.

Responsibilities

• Design and maintain scalable machine learning platforms.
• Develop tools for model training and deployment.
• Ensure platform reliability and performance through monitoring.

Skills

Python

Machine Learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)

Data processing frameworks (e.g., Spark, Pandas, SQL)

MLOps practices

API development

Agile methodologies

Education

Formal training or certification in software engineering

Tools

AWS SageMaker

GCP AI Platform

Azure ML

Docker

Kubernetes

Job description

A leading financial services firm is seeking a Senior Lead Software Engineer - ML to join their agile team in New York. In this role, you will design and maintain scalable machine learning platforms that support end-to-end workflows. The ideal candidate will have over 5 years of experience in building and deploying ML solutions, proficiency in Python and related ML frameworks, and a solid understanding of MLOps practices. This position offers opportunities for innovation and collaboration in a dynamic environment.