✦ Luna Orbit — Data & Analytics

Data Scientist IT Hormel Foods (Austin, MN/Eden Prairie, MN)

at Hormel Foods

📍 Austin, MN, United States Unknown 💰 $98K – $137K USD / year Posted March 13, 2026
Salary $98K – $137K USD / year
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

This role involves developing and deploying AI/ML models and LLM-powered systems to support business operations in food and beverage manufacturing.

  • Build production AI/ML systems
  • Develop predictive models
  • Design data pipelines
  • Deploy models via APIs
  • Collaborate with stakeholders

The technical environment includes AI/ML frameworks, cloud-native deployment, data pipelines, and containerization with Kubernetes and Docker, with a focus on scalable AI solutions.

The ideal candidate is a mid-level data scientist with 3+ years experience in AI/ML development, data modeling, and deploying production AI systems using cloud-native tools and frameworks.

AI/ML developmentData modelingBuilding production AI systemsExperience with APIsCloud-native deployment
LLMsTensorFlowPyTorchKubernetesDockerStreamlit
KubernetesDockerStreamlitTensorFlowPyTorchCloud platforms
AI/MLArtificial IntelligenceMachine LearningLarge Language ModelsData modelingPredictive analyticsData pipelinesPythonTensorFlowPyTorchKubernetesDockerAPIsStreamlitCloud computing
AI/MLArtificial IntelligenceMachine LearningLarge Language ModelsData modelingPredictive analyticsData pipelinesPythonTensorFlowPyTorchKubernetesDockerAPIsStreamlitCloud computing
Problem-solvingCommunicationCollaborationAdaptabilityAnalytical thinking
Industry Food & Beverage, Consumer Packaged Goods
Job Function Develop and deploy AI/ML models to optimize business processes in food manufacturing.
Data ScientistAI/MLArtificial IntelligenceMachine LearningLarge Language ModelsData modelingPredictive analyticsData pipelinesPythonTensorFlowPyTorchKubernetesDockerAPIsStreamlitCloud computing

Lack of experience with AI/ML development, No experience with cloud deployment, Inability to work in a collaborative environment

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