Applied AI/ML Lead

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Jersey City, NJ
Employment
Full-time
Posted
92 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $205k
$138k $270k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $167,500–$241,750.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Applied AI/ML Lead

As an Applied AI/ML Lead within the Corporate Oversight and Governance team, you will serve as a seasoned member of the Data Science team. You are responsible for designing and delivering trusted, scalable technology products that support various corporate technology business functions. Your daily work involves collaborating with cross-functional teams to identify requirements and develop data-driven solutions using AIML, Agentic/GenAI frameworks, and LLMs. You will build end-to-end solutions using Python, PySpark, Spark SQL, and libraries like Tensorflow, Keras, Pytorch, and Scikit-learn. Key responsibilities include developing NLP applications, managing data lakes and workflows in Databricks, and utilizing Langchain or LangGraph. You will also conduct research, mentor team members, and solve complex business problems by productionizing innovative AI agents and models.

What you'll do

  • Develop and deliver data-driven solutions using AI/ML, GenAI, and Agentic frameworks.
  • Build and productionize end-to-end AI/ML solutions to address impactful business needs.
  • Implement LLM orchestration using technologies like Langchain and LangGraph.
  • Apply supervised, unsupervised, and semi-supervised machine learning techniques to projects.
  • Write production-level Python code using libraries such as TensorFlow, Keras, and PyTorch.
  • Conduct research and development to create innovative technology solutions.
  • Create and manage data processing workflows using Databricks and PySpark.
  • Coach and mentor other AI/ML team members on technical and professional development.

What we're looking for

  • Advanced degree in Computer Science, Data Science, Mathematics, or a related field.
  • 7+ years of applied experience in data science, machine learning, or related areas.
  • Strong programming skills in Python with experience in PySpark, Spark SQL, and manipulating data.
  • Hands-on experience with LLM orchestration, Agentic AI libraries, and GenAI models like OpenAI.
  • Experience building AI Agents, agentic frameworks, and managing data lakes and workflows using Databricks.
  • Proficiency in all machine learning techniques, including supervised, unsupervised, and semi-supervised techniques.
  • Strong experience in natural language processing (NLP) and its applications.
  • Experience with AWS components, integrating models into data pipelines, Git, CI/CD, and financial services (preferred).

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