Senior Associate AI/ML Engineer, Agentic Private Bank

JPMorgan Chase

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Quick summary

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

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Similar $207k
$157k $269k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $167,475–$246,534.

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 1243 open roles on FindRole.

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At a glance

TL;DR · Senior Associate AI/ML Engineer, Agentic Private Bank

As an AI/ML Engineer -Agentic Private Bank Engineer, Senior Associate, you will join a team dedicated to reimagining the private bank operating model by developing AI agents. You will research, experiment, and productionize high-quality machine learning models, services, and platforms to solve complex financial services problems. Your daily responsibilities include designing and deploying Python-based tools, managing prompt-based models on LLMs for NLP tasks, and building scalable data processing pipelines for structured and unstructured data. You will utilize technologies including PyTorch, TensorFlow, SQL, NoSQL, OpenSearch, and Git within AWS or Azure cloud environments. Key tasks involve prompt engineering, LLM orchestration, and MLOps practices to optimize model performance. You must collaborate with cross-functional stakeholders to deliver robust database solutions and integrate NLP models into production software applications.

What you'll do

  • Design, write, and deploy well-tested Python code to support machine learning products and tools.
  • Design, deploy, and manage prompt-based models on LLMs for financial services NLP tasks.
  • Research prompt engineering techniques and utilize LLM orchestration and agentic AI libraries.
  • Build and maintain scalable data pipelines and processing workflows using cloud services.
  • Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization.
  • Design and monitor robust database solutions predicated on OpenSearch.
  • Analyze and interpret data to evaluate model performance and identify areas for improvement.
  • Integrate NLP or LLM models into software applications via developed APIs.

What we're looking for

  • Formal training or certification on software engineering concepts and 3+ years of applied experience.
  • Experience with prompt design and implementation or chatbot applications.
  • Advanced knowledge of SQL and NoSQL (OpenSearch, Elasticsearch, and/or Apache Lucene) with Git, containerization, and CI/CD.
  • Strong programming skills in Python with experience in PyTorch or TensorFlow.
  • Experience building data pipelines for both structured and unstructured data processing.
  • Experience developing APIs and integrating NLP or LLM models into software applications.
  • Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.
  • Familiarity with model fine-tuning techniques such as DPO and RLHF (preferred).

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