Applied AI/ML Lead - Scale Operations & Automation

JPMorganChase; Jersey City (NJ); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Health care coverage

Retirement savings plan

Tuition reimbursement

Job summary

JPMorganChase is seeking an Applied Artificial Intelligence and Machine Learning Lead in Jersey City. In this role, you'll lead teams to enhance operational efficiency using AI/ML strategies across Markets Operations, collaborating with cross-functional teams to deliver impactful solutions.

The position requires a robust background in AI and machine learning with hands-on experience in Python and common ML libraries. You will also be responsible for developing teams and processes designed for reliability and scalability.

Competitive benefits and a focus on diversity underscore our commitment to a supportive work environment.

Qualifications

• 5+ years applied experience in AI and machine learning.
• Demonstrated leadership in delivering AI/ML initiatives.
• Experience working in regulated environments.

Responsibilities

• Lead the delivery of machine learning solutions.
• Set technical direction for model development.
• Oversee the deployment of AI applications.

Skills

Applied artificial intelligence

Machine learning

Python

Statistical analysis

Education

Bachelor's or Master's degree in computer science or related field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

JPMorganChase is seeking an Applied Artificial Intelligence and Machine Learning Lead in Jersey City. In this role, you'll lead teams to enhance operational efficiency using AI/ML strategies across Markets Operations, collaborating with cross-functional teams to deliver impactful solutions.

The position requires a robust background in AI and machine learning with hands-on experience in Python and common ML libraries. You will also be responsible for developing teams and processes designed for reliability and scalability.

Competitive benefits and a focus on diversity underscore our commitment to a supportive work environment.