Applied AI ML Associate

J.P. Morgan Corporate Oversight & Governance Technology (COGT) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization.

As an Applied AI ML Associate within J.P. Morgan Corporate Oversight & Governance Technology (COGT) Data Science function, you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. You will leverage advanced AI/ML techniques, LLMs, and Agentic AI to develop and deploy models for tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance.

Job responsibilities:

• Design, develop, deploy, and manage AI/ML models (on both structured/unstructured data), leverages advance AI/ML techniques, LLMs and Agentic AI for developing related solutions.
• Conduct research on AI techniques to enhance model performance in the compliance and risk domains.
• Collaborate with cross-functional teams and stakeholders to identify requirements, develop solutions, and deploy models in the production system.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.
• Develop and maintain tools and frameworks for model training, evaluation, and optimization.
• Analyze and interpret data to evaluate model performance and identify areas for improvement.
• Demonstrate ownership by independently driving the project to success, requiring minimal guidance.

Required qualifications, capabilities, and skills:

• Formal training or certification on AI/ML models concepts and 3+ years applied experience.
• Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow.
• Thorough knowledge of all machine learning concepts, including transformers and language modeling.
• Experience in data pre-processing, feature engineering, and data analysis.
• Excellent problem-solving skills and the ability to communicate ideas and results clearly.
• Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows.

Preferred qualifications, capabilities, and skills:

• Experience with specific AI/ML tools or platforms.
• Additional certifications in AI/ML