DESCRIPTION:

Duties: Build and deploy applications and microservices for AI/ML applications in both on-prem and public cloud. Build CI/CD pipelines for AI/ML applications including building machine learning pipelines from model code to inference service deployment in public cloud. Design and build high availability, scalable on-prem and public cloud infrastructure using Infrastructure as Code approach. Ingest large amounts of data from public and internal company data sources, perform ETL, and store data in data lakes and warehouses.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Computer Science, Computer Engineering, Electrical/Electronics Engineering, Data Science, or related field of study plus one (1) year of experience in the job offered or as Software Engineer, Programmer Analyst, or related occupation. The employer will alternatively accept a Bachelor's degree in Computer Science, Computer Engineering, Electrical/Electronics Engineering, Data Science, or related field of study plus three (3) years of experience in the job offered or as Software Engineer, Programmer Analyst, or related occupation.

Skills Required: This position requires any amount of experience with the following: Performance measurement in the financial services industry and translating quantitative information into actionable insights; Infrastructure design for running and implementing machine learning models for large scale deployment using tools including Terraform and AWS CDK; Building metrics to measure infrastructure and application performance, and setting up AWS CloudWatch monitors and alarms to observe performance; Working with data lakes using Amazon S3 and data warehouses including AWS Redshift; Accessing S3 and Redshift using AWS spectrum to query the data in data lakes and data lakehouses; Using AWS services and CI/CD pipelines to deploy and maintain machine learning applications and services; Developing and maintaining dynamic and interactive dashboards using Tableau or Qlik Sense leveraging advanced visualization, ETL automation, and ODBC connectors; Automating the production of recurring reports and dashboards using ETL techniques, SQL, and Robotic Process Automation techniques; Performing data manipulation, data structuring, data design flow, and query optimization using programming languages including SQL and Python; Processing large data sets using data containers, multithreading, and multiprocessing in PySpark and Tensorflow; Developing software or microservices that deploy as REST APIs; Using AWS Kinesis and Firehose to ingest large amounts of data and perform ETL using AWS Glue; Developing and automating large-scale, high-performance data processing systems; Building scalable Spark data pipelines leveraging scheduler and executor frameworks.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be 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. In addition, please visit: https://careers.jpmorgan.com/us/en/about-us.

Job Location: 575 Washington Blvd, Jersey City, NJ 07310.

Full-Time. Salary: $144,720 - $185,000 per year.

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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

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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.

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Build and deploy applications and microservices for AI/ML applications in both on-prem and public cloud.