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Lead Software Engineer Java, Python, AIML
Lead Software Engineer Java, Python, AIMLJPMorganChase • Plano, Texas, USA
Lead Software Engineer Java, Python, AIML

Lead Software Engineer Java, Python, AIML

JPMorganChase • Plano, Texas, USA
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  • [job_card.full_time]
[job_card.job_description]

Description

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology Corp Oversight and Governance Tech 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

  • Deliver AI / ML projects through the full machine learning development life cycle using Agile methodology.
  • Translate business requirements into AI / ML specifications define milestones and ensure timely delivery.
  • Design develop and troubleshoot AI / ML solutions applying creative problem-solving to technical challenges.
  • Write secure high-quality production Python code and maintain algorithms for integration with enterprise systems.
  • Produce architecture and design artifacts for complex AI / ML applications.
  • Analyze and visualize large diverse data sets to drive continuous improvement of software applications and systems.
  • Identify patterns and insights in data to improve coding hygiene and system architecture.
  • Contribute to software engineering communities of practice and explore new and emerging AI / ML technologies.

Required Qualifications Capabilities and Skills

  • Formal training or certification in Software Engineering concepts and 5 years of applied experience.
  • Proficient in Python programming language.
  • Hands-on experience developing production AI / ML solutions.
  • Familiarity with agentic workflows and relevant frameworks (e.g. LangChain LangGraph CrewAI Auto-GPT).
  • Familiarity with Large Language Models Retrieval-Augmented Generation (RAG) Vector Store and Model Context Protocol (MCP).
  • Demonstrated understanding of machine learning frameworks such as TensorFlow Keras PyTorch Scikit-learn NumPy.
  • Solid understanding of the Software Development Life Cycle CI / CD application resiliency and security.

    • Preferred Qualifications Capabilities and Skills

  • Experience with relational and / or NoSQL databases for data storage and retrieval in AI / ML projects.
  • Experience designing and building enterprise-scale high-volume data processing applications.
  • Knowledge of RESTful Web Services and JSON for integrating AI / ML solutions.
  • Agile development experience with SCRUM or similar methodologies.
  • Experience with artificial intelligence and machine learning tools and frameworks in development.

    • Key Skills

    Access Control System,Engineering,Bar Management,Jpa,Law,Jdbc

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

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