Lead Software Engineer, AI/ML

JPMorgan Chase

Quick summary

Work type: On-site
Location: Plano, TX
Salary: $152,000–$215,000 / yr
Posted: today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k

This role $184k

$143k most similar roles pay here $237k

This role pays less than 62% of similar roles. Most pay $162,000–$227,450 — the shaded band above. At the midpoint, this role pays about $184k versus about $195k for comparable roles.

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 439 open roles on FindRole.

Listed pay typically runs $148,625–$212,500 across 228 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, AI/ML

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As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking division, you will lead an agile team focused on developing and maintaining cutting-edge machine learning platforms. Your day-to-day responsibilities include hands-on development using Python alongside popular ML frameworks like TensorFlow or PyTorch, as well as working with cloud-based tools such as AWS SageMaker and Snowflake for data warehousing. You will also integrate Databricks for scalable data engineering tasks and manage feature stores and model registries to ensure efficient metadata management. Familiarity with containerization tools like Docker and Kubernetes is essential, along with experience in infrastructure-as-code practices using Terraform or CloudFormation. This role demands expertise in RESTful APIs and microservices architectures to deliver robust AI solutions at scale for financial services applications.

Skills

Python TensorFlow PyTorch Scikit-learn Spark Pandas AWS SageMaker GCP AI Platform Azure ML Databricks Snowflake Snorkel AI Docker Kubernetes Airflow Terraform CloudFormation RESTful APIs Microservices

What you'll do

Design and implement machine learning platforms using Python and ML frameworks.
Deploy and maintain scalable data engineering systems with Databricks and Snowflake.
Manage cloud-based ML infrastructure on AWS SageMaker or similar platforms.
Develop RESTful APIs and microservices architectures for AI/ML applications.
Utilize containerization tools like Docker and Kubernetes for deployment.

What we're looking for

Hands-on experience building, deploying, and maintaining ML platforms or infrastructure.
Proficiency in Python and at least one ML framework (TensorFlow, PyTorch, Scikit-learn).
Experience with cloud-based ML platforms (AWS SageMaker, GCP AI Platform, Azure ML) or on-prem ML infrastructure.
Familiarity with Databricks for scalable data engineering and ML platform integration.
Knowledge of Snowflake for cloud-based data warehousing and analytics.
Experience with containerization tools like Docker and orchestration tools like Kubernetes.

Remote

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Lead Software Engineer, AI

JPMorgan Chase

Columbus, OH 14 days ago

Python TypeScript LangChain LlamaIndex AutoGen CrewAI Cloud Foundry GKP Jules CI/CD TrueCD Sophia auth LLM APIs Kubernetes Docker CI/CD Prometheus Grafana

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