Applied AI/ML Lead

: Are you ready to make a significant impact in the world of AI and machine learning? Join J.P. Morgan's Data Science, Applied AI & ML team, where your expertise will drive innovation in compliance and risk management. We offer unparalleled opportunities for career growth and skill development in AI, machine learning, and data science, all within a collaborative and forward-thinking environment.

As a Data Scientist in the Corporate Oversight & Governance Technology (COGT) team, you will leverage advanced AI/ML techniques, including Large Language Models (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 enhance our risk management processes and ensure regulatory compliance, contributing to a leading analytics community.

Job Responsibilities

- Design, develop, deploy, and manage AI/ML models using advanced techniques, LLMs, and Agentic AI for compliance and risk management solutions.

- Conduct research on AI techniques to enhance model performance.

- Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in production.

- 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 projects to success with minimal guidance.

Required Qualifications, Capabilities, and Skills

- PhD, Master's, or Bachelor's degree in a quantitative discipline or an MBA with an undergraduate degree in fields such as Computer Science, Statistics, Economics, Mathematics, etc., from top-tier universities.

- Minimum of 8+ years of relevant experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI, proficiency in coding (e.g., Python, TensorFlow)

- Solid understanding of advanced statistical methods and machine learning techniques, including transformers and language modeling.

- Strong ability to understand and interpret data.

- Advanced problem-solving and exceptional analytical skills.

- Polished and clear communication with senior management.

- Ability to deliver high-quality results under tight deadlines and handle large data sets.

Required Qualifications, Capabilities, and Skills:

- Familiarity with big data platforms (e.g., Hadoop, HDFS, Teradata, AWS Cloud, Hive).

- Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows.

- Familiarity with MLOps tools and practices for seamless integration of machine learning models into production.

- Familiarity with model fine-tuning techniques such as DPO and RLHF.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

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