JPMorgan Chase is looking to lead innovation for AIML platforms, Generative AI platform, and other Enterprise Data platforms within the Consumer and Community Banking division. The goal is to build new AI/ML solutions, deliver end-to-end architecture, and foster a culture of learning and architecture evolution.
Requirements
- Formal training or certification on Machine Learning concepts and 10+ years applied experience.
- At least 10 years experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.
- Solid understanding of using ML techniques specially in Natural Language Processing (NLP) and Large Language Models (LLMs)
- Hands-on experience with machine learning and deep learning methods.
- Good understanding in deep learning frameworks such as PyTorch or TensorFlow.
- Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
- Practical cloud native experience such as AWS.
Responsibilities
- Owns and evangelizes solutions related to data architecture, ML Platform as well as GenAI platform architecture, provide tactical solution and design support to the team and embedded with engineering on the execution and implementation of processes and procedures
- Owns governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
- Serve as a subject matter expert on a wide range of ML techniques and optimizations.
- Provide in-depth knowledge of distributed ML platform deployment including training and serving.
- Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques.
- Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines.
- Get Hands on code and design to bring the experimental results into production solutions by collaborating with engineering team.
Other
- 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- Ability to work on system design from ideation through completion with limited supervision.
- Passion for detail and follow through.
- Excellent communication skills and team player.
- Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners.
