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Machine Learning Platform Lead Engineer

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Job ID 123921 Date posted 06/07/2021 Location : Hopkins, Minnesota

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.

Job Purpose and Impact

The Machine Learning Platform (MLOps) Lead Engineer will be a subject matter specialist to lead engineering on the Machine Learning platform within Cargill.  In this role, you will conduct strategic machine learning architecture, design, software engineering, quality assurance, configuration, deployment and support. You will ensure smooth, stable and timely development of model development and deployment into production-ready Machine Learning pipelines in collaboration with Data Scientists. You will orchestrate machine learning production loads in Amazon Web Services (AWS) and work with our infrastructure team on our CD4ML efforts.

Key Accountabilities

  • Design, build and operate a platform that enables Cargill data scientists to develop, test and productionalize machine learning models, enable automated testing of machine learning artifacts and help to support data validation, ML model testing, and ML model integration testing as well as support models in production.
  • Collaborate and consult with others on engineering software products and platforms, including architecture, design, development, deployment management, testing and support.
  • Compile and prioritize features based on technical and business requirements.
  • Lead the implementation of modern engineering practices to ensure product quality.
  • Lead teams in writing well designed, testable and efficient code using full stack engineering capability.
  • Other duties as assigned.


Minimum Qualifications:

  • Bachelor’s degree in a related field or equivalent experience
  • Confirmed experience in building and deploying machine learning algorithms at scale
  • Minimum of six years of hands on experience in machine learning or data/software engineering
  • Other minimum qualifications may apply

Preferred Qualifications:

  • Confirmed experience in Cloud/Engineering/Development.
  • Confirmed experience with Git, Docker, and CI/CD pipelines
  • Confirmed programming experience in one modern language such as Python, Java, C++, or C# including object-oriented design
  • Confirmed knowledge of machine learning, regression, classification, clustering, and optimization
  • Confirmed knowledge of software architecture, design patterns, microservices, and REST API's

Equal Opportunity Employer, including Disability/Vet.

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