We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorganChase within the AI/ML & Data Platform team , you serve as a seasoned member of an agile team to design and deliver trusted market-leading 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 firm’s business objectives.

Job responsibilities

 

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsProduces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentGathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsProactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architectureContributes to software engineering communities of practice and events that explore new and emerging technologiesAdds to team culture of diversity, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

Formal training or certification on AI/ML concepts and 3+ years applied experienceHans on experience in programming languages, particularly Python.Manage to apply data science and machine learning techniques to address business challenges.Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).Expertise in deep learning frameworks such as PyTorch or TensorFlow, and advanced applied ML areas like GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, and RAG (Similarity Search).Manage to complete tasks and projects independently with minimal supervision, with a passion for detail and follow-through.Excellent communication skills, team player, and demonstrated leadership in collaborating effectively with engineers, product managers, and other ML practitioners

 

Preferred qualifications, capabilities, and skills

Exposure with Ray, MLFlow, and/or other distributed training frameworks.MS and/or PhD in Computer Science, Machine Learning, or a related field.Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.Familiar in Reinforcement Learning or Meta Learning.Understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.Exposure building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc