JPMorgan Chase is seeking to leverage AI and ML to drive innovation, enhance customer experiences, and align with Technology Risk and Resiliency Goals within Cybersecurity Technology & Controls.
Requirements
- Strong understanding of GenAI and LLM technologies and their applications.
- Experience with AI/ML frameworks and libraries.
- Proven experience with AI and machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Familiarity with cloud-based AI services such as AWS SageMaker, Google AI Platform, or Microsoft Azure AI.
- Proficiency in programming languages such as Python or R for AI/ML model development/deployment.
- Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
- Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.
Responsibilities
- Hands on coding to bring the experimental results into production solutions by collaborating with engineering team.
- Owning end to end code development for both proof of concept/experimentation and production-ready solutions.
- Contribute to the development and implementation of AI strategies that align with JPMorgan Chase's objectives and drive innovation.
- Design, develop, and deploy AI models and solutions.
- Collaborate with cross-functional teams to integrate AI technologies into existing products and services.
- Ensure the scalability, performance, and security of AI solutions.
- Implement technology risk controls to safeguard AI systems and data integrity.
Other
- 6+ years of experience in AI/ML development and application knowledge
- Ability to translate complex technical concepts into clear documentation and presentations.
- Strong problem-solving skills and a creative approach to AI/ML application.
- Experience in implementing technology risk controls and business continuity planning.
