Software Engineer III - Fullstack (React & Python)

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 JPMorgan Chase within the Consumer & Community Banking, 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

• Design and implement highly scalable and reliable data processing pipelines and deploy model inference services.
• Deploy solutions into public cloud (AWS or Azure) infrastructure.
• Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact.
• Write code to create several machine learning experimentation pipelines.
• Design and implement feature engineering pipelines and push them to feature stores.
• Analyze large datasets to extract actionable insights and drive data-driven decision-making.
• Ensure the scalability and reliability of AI/ML solutions in a production environment.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Proficient in coding in Javascript, ReactJS, HTML and CSS.              
• Proven experience as a front-end developer with a strong focus on ReactJS and Typescript.
• Technical feasibility of UI/UX designs and optimize applications for maximum speed and scalability                                                   
• Proficiency in programming languages such as Python, Java etc.                                                       
• Full-stack experience API development, including JavaScript frameworks such as React, would be highly valuable
• Experience in using GenAI (OpenAI or AWS Bedrock) to solve business problem.
• Experience with large scale training, validation and testing                                      
• Experience and skills in training and deploying ML models on AWS SageMaker or Bedrock                                                        
• Experience in machine learning frameworks such as TensorFlow, PyTorch, Pytorch Keras, or Scikit-learn.                       
• Familiarity with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes, Amazon EKS, ECS).      

Preferred qualifications, capabilities, and skills

• Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
• Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn, as well as LLM frameworks, such as LangChain, LangGraph, etc
• Understanding of finance or investment banking businesses is an added advantage