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 II 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 2+ 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
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