Applied AI ML Lead - MLOps

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 an Applied AI ML Lead within the Consumer & Community Banking, Digital Intelligence team, you will collaborate with all lines of business and functions to deliver software solutions. You will have the opportunity to experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. You will design and implement highly scalable and reliable data processing pipelines, perform analysis and insights to promote and optimize business results.
Job Responsibilities:

• Deploy and maintain infrastructure for providing an effective model development platform for data scientists and ML engineers that integrates with enterprise data ecosystem
• Build, deploy and maintain ingress/egress and feature generation pipelines to calculate input features for model training and inference
• Deploy and maintain infrastructure for batch and real-time model serving, in high throughput, low latency applications, at scale
• Identify, deploy and maintain high quality model monitoring and observability tools
• Deploy and maintain infrastructure for compute intensive tasks such as hyper-parameter tuning and interpretability and explain ability
• Partners with product, architecture, and other engineering teams to define scalable and performant technical solutions
• Leverages deep technical expertise to design extensible and scalable solutions, and to coach and grow individuals and teams
• Ensures team executes work according to compliance standards, SLAs, and business requirements, to meet the objectives of an initiative. Anticipates the needs of broader teams and potential dependencies with other teams
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Proactively helps maintain high operational excellence standards for our production systems. Encourages development of technological methods and techniques within team
• Creates a culture of diversity, equity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities and skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Deep experience and passion in model training, build, deployment and execution ecosystem such as Sagemaker and/or Vertex AI
• Experience in monitoring and observability tools to monitor model input/output and features stats
• Operational experience in big data tools such as Spark, EMR, Ray
• Experience and interest in ML model architectures - linear/logistic regression, Gradient Boosted Trees, Neural Network architectures
• Solid grounding in engineering fundamentals and analytical mindset
• Experience in taking initiative and embracing iterative development

Preferred qualifications, capabilities and skills :

• Experience with recommendation and personalization systems
• Programming languages: Python, some Java
• Experience in containers (docker ecosystem), container orchestration systems (Kubernetes, ECS), DAG orchestration (Airflow, Kubeflow etc.)
• Experience with cloud technologies-EC2, Sagemaker, IAM

About Us
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.
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.