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U.S. Bank Sr. Data Engineer (AI/ML) - San Francisco, CA in San Francisco, California

At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.

Job DescriptionDear Candidates- Please apply if you are local to Bay Area and meets the below required skills:

  1. Strong coding experience in Python, R, Golang, Node.js or equivalent
  2. Experience in Kubernetes and Docker
  3. Experience with CI/CD, Devops, Jenkins
  4. Experience with workflow orchestration tools such as Apache Airflow, Argo workflows, Oozie
  5. Experience with industry open source projects in large data, spark, flink, tensor flow or etc.
  6. Experience in cloud platform GCP or AWS or equivalent

At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The seventh-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.

Be part of something big, where integrity matters and success inspire, where great people collaborate, innovate and give back, where you feel included, valued and proud. At U.S. Bank we’re looking for people who want more than just a job – they want to make a difference in the communities where they live and work.

Assist in the development of a programmable software solutions leveraging cutting edge technologies and open source solutions (open API integration, automation, etc.). Will be working in an agile development environment interacting with other software engineers, business lines and system architects to provide technology strategies and solutions.

Responsibilities - Provide analysis using optimization and machine learning models to improve business processes and decisions. - Understand the capabilities and limitations of existing algorithms and models and evolve them to satisfy future product requirements. - Work in a multi-functional team (engineers, qa engineers, product) to deliver on critical business goals for AI/ML Infrastructure team. - Validation and verification of model characterization and sensitivities. - Provide technical guidance and mentorship in data processing and architecture, optimization, prediction, and experimentation methods and models. - Design and analysis of product experiments to draw detailed and impactful conclusions - Partner closely with engineering, operations, business, and infrastructure groups and communicate findings clearly to technical and non-technical partners - Build and validate prototypes to demonstrate the benefits from proposed changes to decision systems and operational processes. - Drive the enhancement of re design, updating and launching of machine learning models in production.

Basic Qualifications - Bachelor's degree, or equivalent work experience - Five to six years of relevant experience

Preferred Skills/Experience - Master's/Bachelor's degree, or equivalent work experience - Strong experience with developing and implementing applications - Familiarity with basic classes of ML algorithms, concepts in document processing, feature extraction and selection. - Ability to communicate your analysis with clarity and precision. - Experience implementing statistical models in production-grade code. - 8+ Strong coding experience in Python, R, Golang, Node.js or equivalent - Familiarity with Conda and PyPi, Node.js package builds - Experience in Kubernetes and Docker - Experience with CI/CD, Devops, Jenkins - Experience with workflow orchestration tools such as Apache Airflow, Argo workflows, Oozie - Experience deploying AI/ML models to production. - Experience with industry open source projects in large data, spark, flink, tensor flow or etc. - Experience in cloud platform GCP or AWS or equivalent - Collaborate with various teams ensuring proper flow of data validation and auditing.

Bonus skills to have - Experience in building Algorithms and data structure skills (time and space complexity analysis and optimization) - Having a background in recommendation, Personalization, search and image recognition

Benefits: Take care of yourself and your family with U.S. Bank employee benefits. We know that healthy employees are happy employees, and we believe that work/life balance should be easy to achieve. That's why we share the cost of benefits and offer a variety of programs, resources and support you need to bring your full self to work and stay present and committed to the people who matter most - your family.

Learn all about U.S. Bank employee benefits, including tuition reimbursement, retirement plans and more, by visiting usbank.com/careers.

EEO is the Law Applicants can learn more about the company’s status as an equal opportunity employer by viewing the federal EEO is the Law poster.

E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.

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