As a Software Engineer III at JPMorgan Chase, you will design and implement scalable data processing pipelines, deploy machine learning models, and ensure the integration of AI/ML solutions in production environments. You'll analyze large datasets and collaborate with agile teams to deliver technology products that support business objectives.
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
- Proficiency in programming languages such as Python, Java etc.
- Proficiency in writing comprehensive test cases, with a strong emphasis on using testing frameworks such as pytest to ensure code quality and reliability.
- Full-stack experience, including JavaScript frameworks such as React, would be highly valuable
- Expert knowledge of one of the cloud computing platforms: Amazon Web Services (AWS), Azure, Kubernetes.
- Experience in using GenAI (OpenAI or other models Amazon Bedrock) to solve business problem.
- Experience building data pipelines for both structured and unstructured data processing.
- Experience in developing APIs and integrating NLP or LLM models into software applications
- Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.
- Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
- Excellent communication skills and ability to communicate with senior technical and business partners
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
Pytest
Python
PyTorch
React
Scikit-Learn
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