Job Description AI/ML Engineering Lead
Employer Description
JPMorgan Chase & Co., 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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
Equal Opportunity Employer/Disability/Veterans
Job Description/Roles and Responsibilities
The ideal candidate will have both breadth and depths in analytical and system engineering skills to design and develop software solutions and capabilities enabling and supporting end to end AI/ML implementations deployed to public cloud platforms such as AWS. The candidate will use AI/ML SDLC to drive delivery of machine learning solutions based on sound design and technical quality, accelerate time to market and manage costs.
Key roles and responsibilities:

• Provide thought leadership in framing business problems into analytical projects and execution plans
• Form partnerships across diverse teams to deliver cloud ML solutions.
• Collaborate with product management, user experience, platform engineering, risk management and other partner organizations in discovery and requirements definition
• Working with business and technology stakeholders incubate and onboard new ML architecture and engineering blueprints.
• Designing machine learning systems and automated pipelines for delivery of predictive models.
• Drive ML workflow and deployment automation through data pipelines and process orchestration.
• Conduct data collection, exploratory data analysis and feature engineering
• Implement ML algorithms and run machine learning tests and experiments
• Perform statistical analysis and model fine-tuning using test results
• Ensure algorithms generate accurate user recommendations and inferences
• Extend existing ML libraries and frameworks
• Document machine learning processes
• Keep abreast of developments in machine learning.
• Develop high volume, mission critical applications leveraging messaging and or event-driven architectures.
• Build ML solutions using public cloud ML Platforms such as AWS Sagemaker for end to end ML solution delivery

This role requires a wide variety of strengths and capabilities, including:

• BS/BA degree in computer science or equivalent
• Ability to lead cross functional collaborative teams to achieve organizational goals
• Solid data and ML engineering track record
• Hands-on experience with quantitative methods, AI/ML algorithms and open source libraries
• Knowledge or experience in implementing end to end machine learning solution in public cloud
• Ability to articulate to stakeholders a technical strategy in clear, concise, understandable manner
• Experience working in an Agile environment in collaborative teams to achieve organizational goals
• Understanding of ML SDLC, delivery principles and tools
• Familiarity with industry-wide ML technology trends and best practices
• Keen understanding of software quality and rigor to reduce technical debt
• Passionate about building pragmatic and innovative machine learning solutions
• Strong written and verbal communications
• Excellent technical, problem-solving and communication skills
• Experience with production support of highly available systems

Preferred Qualifications

• Background in machine learning frameworks such as Scikit-Learn, TensorFlow, Pytorch

• Advanced math skills (linear algebra, Bayesian statistics, group theory) Programming experience in Python, Java, React
• Experience with Spring, Messaging, Docker/Kubernetes, AWS Sagemaker
• Knowledge of monitoring systems such as Datadog, CloudWatch
• Work ethic based on a strong desire to meet\\exceed expectations.
• Has worked successfully in a very fast-paced, results-oriented environment.
• Used data and metrics to drive the right outcome.
• Addressed issues related to cloud on-boarding and deployments.
• SRE mindset culture/approaches: To run better production systems by creating ML solutions to prevent/mitigate operational problems.

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 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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the "WELL Health-Safety Rating" for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.
As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. Employees are expected to follow the Firm's current COVID-19 or other infectious disease health and safety requirements, including local requirements. Requirements include sharing information including your vaccine card in the firm's vaccine record tool, and may include mask wearing. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests as required by applicable law.
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.