Senior Lead Software Engineer, AI/ML Developer

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Jersey City, NJ
Posted: 7 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $198k

$131k most similar roles pay here $246k

This listing doesn't post a salary. Most similar roles pay $166,695–$229,886.

Based on 240 similar postings.

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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.

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At a glance

TL;DR · Senior Lead Software Engineer, AI/ML Developer

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As a Senior Lead Software Engineer - AI/ML Developer within the Consumer & Community Banking's AI/Machine Learning Platform Engineering Team, you will join an agile team focused on building, scaling, and maintaining robust machine learning platforms. You will design and deliver infrastructure to empower data scientists and engineers to develop, deploy, and monitor models efficiently. Your daily work involves developing tools for model training, lifecycle management, and automated CI/CD pipelines while integrating feature management into unified solutions. You will utilize Python, SQL, Spark, and Pandas alongside frameworks like TensorFlow, PyTorch, or Scikit-learn. The role requires expertise in MLOps, cloud platforms such as AWS SageMaker, GCP AI Platform, or Azure ML, and potentially Databricks, Snowflake, and Snorkel AI. You will solve complex problems regarding platform reliability, scalability, and the integration of AI-assisted engineering practices.

Skills

Python TensorFlow PyTorch Scikit-learn Spark Pandas SQL AWS SageMaker GCP AI Platform Azure ML MLOps CI/CD Databricks Snowflake Snorkel AI Docker Kubernetes Airflow Terraform RESTful APIs

What you'll do

Design and maintain scalable machine learning platforms and infrastructure to support end-to-end ML workflows.
Develop and optimize tools for model training, deployment, monitoring, and lifecycle management.
Integrate data engineering, feature management, and model serving capabilities into unified platform solutions.
Write secure, high-quality production code for platform services, APIs, and automation pipelines.
Automate infrastructure provisioning, configuration, and CI/CD pipelines for ML platform services.
Create architecture and design artifacts that align with enterprise standards and best practices.
Drive the adoption of AI-assisted engineering practices to improve code quality and delivery speed.
Ensure platform reliability and performance through proactive monitoring and troubleshooting.

What we're looking for

Formal training or certification in software engineering concepts and 5+ years of applied experience.
Hands-on experience building, deploying, and maintaining machine learning platforms or infrastructure.
Advanced proficiency in Python and at least one ML framework such as TensorFlow, PyTorch, or Scikit-learn.
Experience with data processing frameworks and tools including Spark, Pandas, and SQL.
Practical experience with cloud-based ML platforms like AWS SageMaker, GCP AI Platform, or Azure ML.
Strong understanding of MLOps practices, including CI/CD for ML, model versioning, and monitoring.
Proficiency in all aspects of the Software Development Life Cycle and Agile Methodologies.
Experience developing APIs and platform services for machine learning workflows.

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