Ford Motor Company | Kubernetes Systems Engineer (AI/ML Platforms) | Dearborn, MI | United States | BigDataKB.com | 2022/10/30

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Job Location: Dearborn, MI

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

As a key member of our Information Technology group, you’ll play a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

Ford Motor Company is seeking a Kubernetes Systems Engineer to help build and enhance their Machine Learning platforms.

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The minimum requirements we seek:

  • 2+ years of experience with Kubernetes and/or container platforms like Docker
  • 3+ years of experience in Linux including: system administration tasks, performance optimization, troubleshooting
  • 1+ years of experience with CI/CD tools such as GitHub, Tekton, Terraform, Argo Workflow

Our preferred requirements:

  • Excellent communication skills
  • Ability to automate manual processes with shell scripting, python, perl, etc
  • Familiar with Keycloak or Oauth 2.0 login flows
  • Experience using GCP (esp. VertexAI, AutoML, DialogFlow)
  • Familiar with various AI/ML frameworks such as TensorFlow, PyTorch, Spark, etc
  • Exposure to monitoring tools such as Elastic Search, Prometheus, Thanos, Grafana, OpenTSDB, Icinga

What you’ll receive in return:

As part of the Ford family, you’ll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings, and stock investment plans, incentive compensation, and much more. You’ll also experience exciting opportunities for professional and personal growth and recognition.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status, or protected veteran status.

For information on Ford’s salary and benefits, please visit: https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2022-benefits-and-comp-GSR-sal-plan-2.pdf

What you’ll be able to do:

In this role, you will work closely with ML engineers and data scientists to gather requirements, integrate new tools, and work through issues. Qualified candidates are self-starters and are driven to continuously learn new technologies.




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