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
What the Team is Saying
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
