Staff Design Engineer Applications in Springdale, AR at Tyson Foods

Date Posted: 6/20/2018

Career Snapshot

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Career Description

SUMMARY: Tyson's unique product processing and business space create ample opportunity for optimization utilizing machine/deep learning and predictive analytics to implement business- and consumer-facing solutions. As a member of the expert team delivering these mission-critical business operations enhancements, you will: Provide technical direction and recommendations around architecture, implementation, and support of machine learning solutions. Develop scalable machine learning pipelines and applications in diverse areas like Cloud, IoT, Web, Social etc. Work closely with decision makers to identify and implement cost-effective solutions for machine learning initiatives. Attain IT service level agreements for the user community within the organization. Contribute to the definition and implementation of IT policies, standards, and best practices. Stay current on the latest technologies to facilitate future planning of necessary IT initiatives.


  • College degree (or equivalent experience) preferably in technical area with 8+ years of progressive experience in an IT environment and/or advanced degree with 6+ years of progressive experience.
  • 3-6 years of proven experience implementing statistical and machine learning solutions
  • Expertise in supervised and unsupervised learning, deep learning, deep neural networks, convolutional neural networks, random forests and/or related techniques.
  • Experience using statistical/ML tools such as R, Scikit-Learn, AWS ML, TensorFlow, SparkML/MLIB, or similar.
  • Experience with one or more general purpose programming languages including but not limited to C/C++, Python, R, Scala, Node.JS, or Java . Demonstrable ability to apply theoretical or experiential knowledge on machine learning to solve industrial problems.

  • Experience in scalable frameworks, cloud, containers.
  • Understanding of DevOps utilizing CICD. Knowledgeable with relational databases & SQL concepts.
  • Excellent written and verbal communication skills.
  • Excellent leadership and ability to educate team members