JPMorgan Chase's Technology team builds innovative products, services, and applications to support various business functions and workflows of Wholesale Lending Services. The Applied AI/ML Lead will analyze business problems, experiment with state-of-the-art models, and develop machine learning and deep learning solutions to address these needs.
Requirements
- At least 7 years’ experience in applying data science, ML techniques to solve business problems and one of the programming languages like Python, Java, C/C++, etc.
- Experience with LLMs and Prompt Engineering techniques.
- 1+ year of experience working with Gen AI solutions / LLMs such as GPT, Claude, Llama etc.
- Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models
- Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals.
- Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2, Glue, etc.
Responsibilities
- Lead programs and provide directions to successfully implement the large AI/ML initiatives
- Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, personalization, or recommendation systems.
- Develop end-to-end ML/AutoML/AutoNLP pipelines and operationalize the end-to-end orchestration of the ML models to support the various use cases like Document Q&A, Search, Information Retrieval, classification, personalization, etc.
- Build both batch and real-time model prediction pipelines with existing application and front-end integrations.
- Collaborate to develop large-scale data modeling experiments, Explain complex concepts to senior funders and stakeholders.
- Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.
- Work with Product Owners and Software Engineers to productionize the models and Partners closely with business partners to identify impactful projects, influence key decisions with data, and ensure client satisfaction.
Other
- BS or MS or PhD in Computer Science or Data Science or Statistics or Mathematical sciences or Machine Learning.
- Strong background in Mathematics and Statistics.
- Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions.
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments.
- Ability to work on tasks and projects through to completion with limited supervision.
- Passion for detail and follow through.
- Excellent communication skills and team player
