DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As an AI ML engineer at JPMorgan Chase within the Commercial & Investment Banks Global Banking team you serve as a seasoned member of an agile team to design and deliver trusted market-leading AI technology products in a secure stable and scalable way. You are responsible for carrying out 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 our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications define milestones and ensure timely delivery.
- Executes solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers analyzes synthesizes and develops visualizations and reporting from large diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required Qualifications Capabilities and Skills
- Formal training or certification on Software Engineering concepts and 3 years applied experience
- Proficient in Python programming language
- Hands-on experience developing production AI/ML solutions
- Familiarity with agentic workflows and relevant frameworks such as LangChain LangGraph CrewAI Auto-GPT etc.
- Familiarity with Large Language Models RAG Vector Store and MCP
- Demonstrated understanding of machine learning frameworks such as TensorFlow Keras PyTorch Scikit-learn NumPy etc.
- Familiarity with AWS Cloud services such as SageMaker EMR Glue etc.
- 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
- Experience with Apache Spark and Databricks
- Experience with Terraform
DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.As an AI ML engineer at JPMorgan Chase within the Commercial & Investment Banks Global Banking team you serve as a seasoned member of an agile team to design and deliver truste...
DescriptionWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As an AI ML engineer at JPMorgan Chase within the Commercial & Investment Banks Global Banking team you serve as a seasoned member of an agile team to design and deliver trusted market-leading AI technology products in a secure stable and scalable way. You are responsible for carrying out 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 our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications define milestones and ensure timely delivery.
- Executes solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers analyzes synthesizes and develops visualizations and reporting from large diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required Qualifications Capabilities and Skills
- Formal training or certification on Software Engineering concepts and 3 years applied experience
- Proficient in Python programming language
- Hands-on experience developing production AI/ML solutions
- Familiarity with agentic workflows and relevant frameworks such as LangChain LangGraph CrewAI Auto-GPT etc.
- Familiarity with Large Language Models RAG Vector Store and MCP
- Demonstrated understanding of machine learning frameworks such as TensorFlow Keras PyTorch Scikit-learn NumPy etc.
- Familiarity with AWS Cloud services such as SageMaker EMR Glue etc.
- 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
- Experience with Apache Spark and Databricks
- Experience with Terraform
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