Applied Artificial Intelligence Machine Learning Lead

J.P. Morgan; Wilmington (DE); On-site; USD 130,000 - 180,000; Full time

Job summary

A leading financial institution seeks an Applied AI ML Lead to spearhead innovative AI and machine learning solutions. This role involves collaborating with stakeholders, managing teams, and driving strategic AI initiatives to enhance operational efficiency and mitigate risk. The ideal candidate will have extensive experience in ML model development and a strong quantitative educational background.

Qualifications

• 5+ years experience implementing AI and ML models integrated with operational processes.
• Hands-on machine learning model development and integration with LLM APIs.
• Strong problem-solving skills with proficiency in SQL.

Responsibilities

• Develop visionary AI strategies leveraging generative AI to enhance operations.
• Lead and inspire a team of Applied AI ML Analysts.
• Provide design and development of high-impact analytic solutions.

Skills

Analytical Problem Solving

Leadership

Innovation

Communication

Education

Degree in Computer Science, Mathematics, or Data Science

Tools

Databricks

LangChain

Python

SQL

Job description

Join us in reshaping the future!

As a Applied AI ML Lead, you'll spearhead the development of cutting-edge AI and ML solutions to tackle real-world challenges. Your expertise will drive innovation in areas such as Large Language Models, Predictive Models, and Agentic AI processing. You will collaborate with key stakeholders in Consumer and Community Bank Controls and Oversight to deliver impactful results.

Job Responsibilities:

• Craft and execute visionary AI strategies that leverage generative AI, seamlessly integrating with our Controls and Oversight Product suite to enhance efficiency and mitigate risk.
• Lead and inspire a team of Applied AI ML Analysts, fostering a culture of excellence and innovation to deliver transformative AI solutions.
• Partner with diverse stakeholders to ensure the delivery of value-driven AI initiatives, acting as a primary liaison for executives across various business domains.
• Provide hands on design and development of high-impact projects requiring sophisticated analytical solutions, identifying business needs and developing data-driven strategies.
• Articulate business plans and outcomes to senior management, ensuring alignment and transparency.
• Stay at the forefront of AI trends, continuously testing and integrating new tools and techniques to maintain competitive advantage.
• Strategically manage resources to influence decisions impacting the organization’s P&L, recognized as a technical leader with broad business exposure.
• Drive proactive process enhancements, effectively managing resources and communicating findings to business executives.
• Engage and inspire diverse groups of colleagues and clients, setting high performance standards and nurturing talent through coaching.

Require qualification, capabilities and skills:

• Degree in quantitative discipline (e.g., Computer Science, Mathematics, Data Science).
• 5+ years proven experience implementing the use of AI and machine learning models that are integrated with operational processes and workflows.
• Hands-on machine learning model development and use of Databricks, LangChain, Retrieval Augmented Generation (RAG).
• Advanced skills with 5+ years experience in Python, Pandas and integrating LLM APIs and computational packages.
• Proficiency with SQL and basic data table operations, coupled with strong problem-solving skills. Demonstrated knowledge of data architecture designs that are best aligned to generative AI solutions.
• Curious, hardworking, detail-oriented, motivated by complex analytical problems, with the ability to design or evaluate metrics aligned with business goals and communicate technical concepts effectively.

Preferred qualification, capabilities and skills:

• Experience managing diverse teams