JPMorgan Chase is looking to enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable manner, focusing on AI/ML Data Platforms.
Requirements
- Expert in one or more programming language(s)
- Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Practical cloud native experience
- Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
- 5 years of experience working with Machine Learning, AI, Large Language Models (LLM) infrastructure, especially with training, model development, and other requests
- Expertise in Machine Learning frameworks like Python, Scikit-learn, PyTorch, TensorFlow, Apache Spark, and experience with Generative AI models like GANs, Transformers, and Diffusion Models
- Knowledge of MLOps best practices around model training, evaluation, deployment, and governance
Responsibilities
- Creates complex and scalable coding frameworks using appropriate software design frameworks
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Advises cross-functional teams on technological matters within your domain of expertise
- Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
- Creates durable, reusable software frameworks that are leveraged across teams and functions
- Lead the development of the next generation AI/ML-features for training and experimentation across traditional and gen AI
- Elevate the overall engineering and applied science culture and practices across the organization and the firm
Other
- Formal training or certification on software engineering concepts and 10+ years applied experience
- Ability to present and effectively communicate with Senior Leaders and Executives
- Understanding of the business
- Experience leading a product as a Product Owner or Product Manager
- M.Sc or Ph.D in CS or any related field
