AI Lead Software Engineer Machine Learning

JPMorganChase

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profile Job Location:

Columbus, NE - USA

profile Monthly Salary: $ 152000 - 215000
Posted on: 28 days ago
Vacancies: 1 Vacancy

Job Summary

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorganChase within the Data Products Team youare an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

  • Collaborate with data scientists to facilitate training fine-tuning and deployment of ML models including foundational and generative models.
  • Integrate trained models into production applications (e.g. anomaly detection automated reporting agentic AI workflows).
  • Develop APIs microservices and user interfaces to expose model capabilities to business users and other systems.
  • Design and implement prompt engineering strategies and agentic architectures for autonomous AI workflows.
  • Monitor troubleshoot and optimize model performance scalability and reliability in production environments.
  • Act as a technical liaison between data science engineering and product teams to ensure seamless integration and delivery.
  • Document processes workflows and best practices for model deployment and application integration.

Required qualifications capabilities and skills

  • Formal training or certification on software engineering concepts and 5 years applied experience
  • Proficiency in Python and experience building APIs/microservices.
  • Experience with ML frameworks (e.g. PyTorch TensorFlow Hugging Face) and foundational models (LLMs generative AI).
  • Familiarity with prompt engineering and agentic workflows.
  • Strong understanding of cloud platforms (AWS GCP Azure) and MLOps practices.
  • Excellent communication and collaboration skills.

Preferred qualifications capabilities and skills

  • Experience with anomaly detection automated reporting or narrative generation systems.
  • Exposure to vector databases retrieval-augmented generation (RAG) or semantic search.
  • Experience with containerization (Docker Kubernetes) and CI/CD pipelines.
  • Knowledge of security and compliance in AI/ML deployments.
  • Experience with Databricks ML Ops.
  • Familiarity with regression/classification models and their integration into production systems.


DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.As a Lead Software Engineer at JPMorganChase within the Data Products Team youare an integral part of an agile team that works to enhance build and deliver trusted market-...
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Key Skills

  • Industrial Maintenance
  • Machining
  • Mechanical Knowledge
  • CNC
  • Precision Measuring Instruments
  • Schematics
  • Maintenance
  • Hydraulics
  • Plastics Injection Molding
  • Programmable Logic Controllers
  • Manufacturing
  • Troubleshooting

About Company

Company Logo

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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