J.P. Morgan is looking to optimize client engagement through their CCB Field employees and tools by leveraging AI/ML solutions to reinvent CRMs and client/employee interactions.
Requirements
- At least 5 year's experience in one of the programming languages like Python, R, Java, etc. Intermediate Python is a must.
- Experience in applying data science, ML techniques to solve business problems.
- Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
- Experience with machine learning and deep learning methods.
- Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow
- Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
- Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
Responsibilities
- Serve as a subject matter expert on a wide range of ML techniques and optimizations.
- Build and enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
- Conducting experiments using latest ML technologies, analyzing results, tuning models.
- Actively engage in hands-on coding to convert experimental results into robust production solutions.
- Take full ownership of the entire code development lifecycle in Python, from proof of concept and experimentation to delivering production-ready solutions.
- Integrate Generative AI within the ML Platform using state-of-the-art techniques.
Other
- 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.
- Demonstrated ability to translate LLM pipelines/workflows into something less technical business partners can understand.
