Software Engineer II - Machine Learning

Job Description
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.
Job Summary
As a Software Engineer II at JPMorgan Chase within the Chief Technology Office, 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

• Lead optimization of generative AI models, focusing on large language models (LLMs) and retrieval-augmented generation (RAG).
• Collaborate with cross-functional teams to integrate AI solutions into business processes and intelligent solutions.
• Conduct data preprocessing, transformation, and feature engineering for AI model training and analysis.
• Develop and implement data transformation pipelines to ensure data quality and accessibility.
• Deploy and manage AI models using frameworks like PyTorch and TensorFlow.
• Stay updated on advancements in AI and machine learning, applying new techniques to improve model performance.
• Participate in Agile teams, contributing to sprint planning, stand-ups, and retrospectives for timely AI solution delivery.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Demonstrate advanced proficiency in Python and experience with machine learning libraries and frameworks.
• Have proven experience in training and fine-tuning generative AI models, including large language models (LLMs) and retrieval-augmented generation (RAG).
• Exhibit a strong understanding of deep learning concepts and techniques, especially in the context of generative AI.
• Experience working on enterprise-scale machine learning projects in a professional environment.
• Expertise in data transformation, preprocessing, and feature engineering techniques.
• Proficient in using PyTorch and TensorFlow for deploying generative AI models.

Preferred qualifications, capabilities, and skills

• Familiarity with automation tools like Alteryx
• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Exposure to cloud technologies