✦ Luna Orbit — AI & Machine Learning

1st shift Plant Engineering Technician (plant 4)

at Hormel Foods

📍 Sparta, WI, United States Unknown 💰 $30 – $34 USD / year Posted March 13, 2026
Salary $30 – $34 USD / year
Type Not Specified
Experience mid
Exp. Years 4+ years
Education Not specified
Category AI & Machine Learning

Responsible for translating business needs into production AI/ML and LLM-powered systems, building end-to-end AI services to support operational workflows and deliver measurable value.

  • Build AI/ML services
  • Deploy models in production
  • Develop APIs and UI
  • Containerize applications
  • Optimize AI workflows

Develops and deploys AI/ML models, APIs, and automation pipelines in cloud-native environments using Docker, Kubernetes, and CI/CD tools, with a focus on predictive analytics.

The ideal candidate is a mid-level data scientist with experience in deploying AI/ML and LLM-powered systems, proficient in containerization and cloud deployment, capable of building scalable AI services that support business workflows.

Designimplementand deploy AI/ML and LLM-backed servicesBuild REST APIsContainerize services using DockerOrchestrate deployment with Kubernetes or serverlessDevelop predictive and prescriptive capabilities
Experience with cloud environmentsExperience with CI/CD pipelinesExperience with front-end UI development
DockerKubernetesStreamlitCloud platforms
AIArtificial IntelligenceMLMachine LearningLLMLarge Language ModelsPythonAPIsDockerKubernetesCI/CDStreamlit
AIArtificial IntelligenceMLMachine LearningLLMLarge Language ModelsPythonAPIsDockerKubernetesCI/CDCloud-native environmentStreamlit
CommunicationCollaborationProblem-solvingPrioritizationAdaptability
Industry Manufacturing
Job Function Data Scientist specializing in AI/ML deployment
Data ScientistAIArtificial IntelligenceMLMachine LearningLLMLarge Language ModelsAPIsDockerKubernetesCI/CDCloud-nativePythonPredictive analyticsPrescriptive analytics

Lack of experience with Docker or Kubernetes, No experience deploying AI/ML models, Inability to work with cloud-native environments

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