JPMorgan Applied AI ML Lead 

United States, Texas, Plano 

44403163

Job Responsibilities

• Lead a team of data scientists to develop AI/ML capabilities that can help identify emerging fraud risk vector and enhance our capability to defend against it
• Collaborate with stakeholders to scope the project, collect business requirements and provide guidance on leveraging machine learning solutions
• Work with technology partners on the design and architecture of the solution to meet business demand
• Follow the protocol and procedures when dealing with sensitive data, and firm’s policy and guideline when interacting with control, governance and regulatory bodies
• Coach junior team members and ensure a diverse and inclusive culture

Required qualifications, capabilities and skills -

• Graduate degree in Computer Science, Electrical Engineering, Mathematics, Statistics, Operations Research, Physics, and other related quantitative fields
• 3+ years’ experience with developing and deploying neural network models (deep learning, reinforcement learning, etc.) using PyTorch or TensorFlow
• 1+ years’ experience with fine tuning pre-trained generative AI models (Stable Diffusion, Flux, or LLMs, etc.)
• Highly proficient in general programming language such as Python and its ecosystem
• Hands on experience with typical development toolchain such as IDE (VS Code, IntelliJ, etc.), version control system (Git), and Cloud development environment (AWS, etc.)
• Strong analytical experience in explorative data analysis and desire to drive business impact, a good communicator and a good listener
• Strong interest in keeping up with the current technology advancement and ability to disseminate the knowledge with the team

Preferred qualifications, capabilities and skills -

• Experience with research in generative AI models
• Experience with managing a team
• Familiarity with structured database and languages such as SQL, Spark; graph database and language such as GSQL, etc.