✦ Luna Orbit — AI & Machine Learning

OHI Software Developer

at RIA Advisory

📍 Remote, US Remote 💰 $83K – $100K USD / year Posted March 18, 2026
Salary $83K – $100K USD / year
Type Full-Time
Experience mid
Exp. Years 5+ years
Education Not specified
Category AI & Machine Learning

This role involves designing and maintaining machine learning infrastructure, managing GPU workloads on Kubernetes, and supporting AI/ML model deployment in a cloud-native environment, primarily for healthcare and insurance applications.

  • Build ML pipelines
  • Manage GPU workloads
  • Maintain distributed systems
  • Collaborate with data teams
  • Ensure system performance

Focuses on ML pipelines, distributed data systems, container orchestration with Kubernetes and Docker, GPU management, and cloud-native AI/ML deployment using Python, PyTorch, and TensorFlow.

The ideal candidate is a mid-level ML Ops engineer with over 5 years of experience in building and maintaining machine learning pipelines, proficient in Python, and experienced with Kubernetes, Docker, and GPU workloads. They possess strong problem-solving skills and can work independently in a cloud-native environment.

5+ years in development rolesProficient in PythonExperience with PyTorch or TensorFlowKubernetes experienceGPU workload management
Experience with computer visionExperience with large imagery formatsPublications or GitHub repositoriesExperience with DockerExperience with time slicing GPUs
KubernetesDockerPyTorchTensorFlowAirflowMinIO
PythonPyTorchTensorFlowKubernetesDockerAirflowMinIOGPU workloadsdistributed data systemsmachine learning pipelines
PythonPyTorchTensorFlowKubernetesDockerAirflowMinIOMachine Learning PipelinesDistributed WorkloadsGPU Computing
Problem SolvingAnalytical ThinkingCommunicationCollaborationCreativityIndependence
Industry Technology / Healthcare / Insurance
Job Function Design, build, and maintain scalable ML infrastructure and pipelines.
Role Subtype ML Ops Engineer
Tech Domains Python, Kubernetes, Docker, PyTorch, TensorFlow, Airflow, MinIO
Clearance Required Active TS with ability to obtain and maintain SCI
Visa Sponsorship Yes
ML Ops EngineerPythonPyTorchTensorFlowKubernetesDockerAirflowMinIOGPU workloadsDistributed data systemsMachine learning pipelinesKubernetes clustersSCi clearancecloud-nativeAI/ML engineeringData pipelinesdistributed data systems

Less than 5 years of experience, No experience with Kubernetes or GPU workloads, Lack of Python or ML pipeline experience, No active security clearance

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