✦ Luna Orbit — AI & Machine Learning

Staff Software Engineer, MLOps - Hybrid

at NRG Energy

📍 UT, US, 84043 Hybrid Posted March 13, 2026
Apply Now → ← Browse All Jobs

Position Details

Type Not Specified
Experience mid
Exp. Years 3+ years
Education Bachelor's degree in Computer Science, Data Science, Engineering or a related field
Category AI & Machine Learning

About this role

This role involves designing and maintaining MLOps pipelines and infrastructure to support scalable, reliable deployment of machine learning models in energy applications.

Key Responsibilities

  • Design MLOps pipelines
  • Build feature stores and model registries
  • Collaborate with data scientists and DevOps
  • Automate model lifecycle management
  • Monitor model performance and drift

Technical Overview

The technical environment includes Python, TensorFlow, PyTorch, Docker, Kubernetes, cloud platforms (AWS, GCP, Azure), Terraform, and ML monitoring tools.

Ideal Candidate

The ideal candidate is a mid-level MLOps engineer with 3+ years of experience designing and maintaining machine learning pipelines, proficient in cloud platforms like AWS, GCP, or Azure, and skilled in containerization and orchestration tools.

Must-Have Skills

PythonTensorFlowKubernetesCI/CD pipelinesAWS or GCP or AzureData versioningModel deploymentModel monitoring

Nice-to-Have Skills

PyTorchscikit-learnTerraformModel drift detectionML pipelines

Tools & Platforms

DockerKubernetesGCPAWSAzureTerraform

Required Skills

PythonTensorFlowPyTorchscikit-learnDockerKubernetesCI/CD pipelinesGCPAWSAzureTerraformData versioningModel registriesML pipelinesModel deploymentModel monitoringModel drift detection

Hard Skills

PythonTensorFlowPyTorchscikit-learnDockerKubernetesCI/CD pipelinesGCPAWSAzureTerraformData versioningModel registriesML pipelinesModel deploymentModel monitoringModel drift detection

Soft Skills

CollaborationMentorshipProblem-solvingCommunicationTeamwork

Industry & Role

Industry Energy
Job Function Developing and maintaining scalable MLOps infrastructure for energy data science models

Keywords for Your Resume

MLOpsMachine LearningML pipelinesModel deploymentModel monitoringData versioningModel registriesKubernetesDockerTensorFlowPyTorchscikit-learnCI/CD pipelinesGCPAWSAzureTerraform

Deal Breakers

Lack of experience with cloud platforms (AWS, GCP, Azure), No experience with Kubernetes or Docker, Less than 3 years in MLOps or related field

Apply for this Position →

Get matched to jobs like this

Luna finds roles that fit your skills and career goals — no endless scrolling required.

Create a Free Profile