We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III - AI/ML Engineer at JPMorganChase within the AI For Technology group, 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
- Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery.
- Executes solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills
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Formal training or certification on software engineering concepts and 3+ years applied experience
- Experience as a hands-on practitioner developing production AI/ML solutions.
- Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc.
- Deep knowledge and experience in machine learning and artificial intelligence.
- Expert in at least one of the following areas: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
- Knowledge of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
- Demonstrated understanding in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn.
- Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc.
- Familiarity in AWS Cloud services such as EMR, Sagemaker etc.,
- Overall knowledge of the Software Development Life Cycle
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Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Exposure to cloud technologies