Applied AI/ML - Senior Associate

Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale Lending Services.

As an Applied AI/ML Senior Associate within the CIB Technology team at JPMorganChase, you will play a crucial role in analyzing business problems, experimenting with state-of-the-art models, and developing machine learning and deep learning solutions.

You will use your knowledge of ML toolkit and algorithms to deliver the right solution.

You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new systems.

We are looking for someone with a passion for data, ML, and Software Development, who can understand the data landscape in large and complex organizations.

Job Responsibilities


* Assist product leadership in defining the problem statements, execution roadmap


* 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.


* Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions.


* 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, e xplain complex concepts to senior leaders and stakeholders.


* Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.

Required qualifications, capabilities, and skills


* 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.


* 5+ 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 b...