The Software Engineer III designs and delivers scalable technology products, implementing data processing pipelines and machine learning solutions while ensuring code quality and reliability.
Job Description
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
Top Skills
Amazon Bedrock
AWS
Azure
Java
JavaScript
Keras
Kubernetes
Langchain
Langgraph
Mxnet
Openai
Python
PyTorch
React
Scikit-Learn
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