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Applied AI ML Lead

Wilmington, DE, US
Up to $320,000/ year
Artificial Intelligence Engineer Cloud Engineer Machine Learning Engineer
Actively hiring

Applied AI ML Lead

JPMorganChase
Wilmington, DE, US
Up to $320,000/ year
Artificial Intelligence Engineer Cloud Engineer Machine Learning Engineer
JPMorganChase
Actively hiring

hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Applied AI ML Lead at JPMorgan Chase within the CCB Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. In this role, you will leverage your deep knowledge of machine learning, software engineering, and product management to spearhead multiple complex ML projects and initiatives, serving as the primary decision-maker and a catalyst for innovation and solution delivery.

You will be responsible for leading, and mentoring a team of Machine Learning and Artificial Intelligence Engineers, focusing on best practices in ML engineering, with the goal of elevating team performance to produce high-quality, scalable ML solutions with operational excellence. You will engage deeply in technical aspects, reviewing code, mentoring engineers, troubleshooting production ML applications, and enabling new ideas through rapid prototyping. Your passion for parallel distributed computing, big data, cloud engineering, micro-services, automation, and operational excellence will be key.

 

Job Responsibilities

  • Lead a team of machine learning engineers, ensuring the delivery and support of high-quality ML solutions.
  • Collaborate with product teams to deliver tailored AI/ML-driven technology solutions.
  • Architect and implement robust, cloud-native MLOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
  • Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create innovative fintech products.
  • Develop advanced monitoring and management tools to ensure high reliability and scalability of AI/ML systems.
  • Optimize system performance by identifying and resolving inefficiencies and bottlenecks.
  • Drive the adoption and use of AI/ML platform tools across teams.
  • Define and enforce robust AI governance and Responsible AI frameworks, ensuring all solutions are fair, transparent, and compliant with regulatory requirements.
  • Oversee the full AI/ML product lifecycle, from planning and execution to future development, adapting and developing new products and methodologies to meet business goals.
  • Mentor and develop a team of AI/ML professionals, promoting a culture of excellence, continuous learning, and professional growth.

 

Required Qualifications, Capabilities, and Skills

  • Bachelor’s degree or PhD or Master’s in Computer Science, Engineering, Data Science, or related field
  • 5+ years of experience in Machine Learning and Artificial Intelligence engineering.
  • Extensive hands-on technical experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn).
  • Deep expertise in cloud engineering (AWS, Azure, GCP) and distributed microservice architecture.
  • Experience with Kubernetes ecosystem, including EKS, Helm, and custom operators.
  • Background in high performance computing and ML hardware acceleration (GPU, TPU, RDMA).
  • Strategic thinker with the ability to drive technical vision for business impact.
  • Demonstrated leadership working effectively with engineers, data scientists, and ML practitioners.

 

Preferred Qualifications, Capabilities, and Skills

  • Strong coding skills and experience developing large-scale AI/ML systems.
  • Proven track record contributing to and optimizing open-source ML frameworks.
  • Recognized thought leader in the field of machine learning.
  • Hands-on experience with generative AI and LLMs in production settings. 
  • Cloud AWS Machine Learning Certification or any GenAI Certifications

 

#LI-RB3

 
 
 

About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

 

 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

 

 

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.

 

 

Equal Opportunity Employer/Disability/Veterans

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
 
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

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