Software Engineer II - Machine Learning

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Consumer and Community Banking- Data technology you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Hands on code development to enable our AI/ML platform, ensuring robustness, scalability, and high performance.
• Adopt the best practices in software engineering, machine learning operations (MLOps), and data governance.
• Maintain consistent code check-ins every sprint to ensure continuous integration and development.
• Executes using Platform engineering to enable the Gen AI platform and develop the Gen AI Use cases ,LLM fine tuning and multi agent orchestration.
• Communicate technical concepts and solutions effectively across all levels of the organization.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Extensive practical experience with AWS cloud services, including EKS, EMR, ECS, and DynamoDB.
• Hands-on experience in DataBricks ML lifecycle development.
• Advanced knowledge in software engineering, AI/ML, machine learning operations (MLOps), and data governance.
• Real-time model serving experience with Seldon

Preferred qualifications, capabilities, and skills

• Ray Or AWS SM is a plus.

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