✦ Luna Orbit — AI & Machine Learning

Manager, AI Solutions Engineer

at Conagra Brands

Hybrid 💰 $107K – $156K USD / year Posted March 24, 2026
Salary $107K – $156K USD / year
Type Not Specified
Experience senior
Exp. Years 7+ years
Education Bachelor's, Master's, or PhD in Computer Science, Engineering, Data Science, or related field
Category AI & Machine Learning

This role involves designing, developing, and deploying AI and machine learning solutions at scale, leveraging cloud-native tools and frameworks to deliver impactful AI applications.

  • Develop and deploy AI/ML models
  • Implement scalable AI infrastructure
  • Collaborate with cross-functional teams
  • Optimize models for production
  • Stay current with AI advancements

Utilizes Python for model development, Kubernetes and Docker for deployment, and cloud platforms like Azure and AWS for scalable AI solutions, with a focus on production readiness and CI/CD pipelines.

The ideal candidate is a senior AI/ML engineer with 7+ years of experience in deploying machine learning models, proficient in Python, Kubernetes, Docker, and cloud platforms like Azure and AWS, with a strong background in AI system development.

PythonMachine LearningModel DeploymentCloud PlatformsKubernetesDockerCI/CD
Large Language ModelsDeep LearningAzureAWSAzure DevOpsData Science
DockerKubernetesAzureAWSAzure DevOpsGitHub Actions
PythonMachine LearningDeep LearningLarge Language ModelsLLMAIKubernetesDockerCloud PlatformsAzureAWSCI/CDModel DeploymentData Science
PythonMachine LearningDeep LearningLarge Language ModelsLLMAIAI/ML deploymentKubernetesDockerCloud PlatformsAzureAWSAzure DevOpsCI/CDModel DeploymentData Science
analytical thinkingproblem-solvingcollaborationcommunicationinnovative thinking
Industry Technology / SaaS
Job Function AI/ML solution development and deployment
Role Subtype AI Engineer
Tech Domains Python, Kubernetes, Docker, Azure, Amazon Web Services, AI / Machine Learning, Data Science
PythonMachine LearningDeep LearningLarge Language ModelsLLMAIAI deploymentKubernetesDockerCloud PlatformsAzureAWSAzure DevOpsCI/CDModel DeploymentData ScienceAI systemsML engineeringproduction deployment

Lack of experience with Python or ML deployment, No experience with Kubernetes or Docker, Inability to work in hybrid environment

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