✦ Luna Orbit — AI & Machine Learning

Senior AI Deployment Engineer

at Stryker

📍 12 Locations Hybrid Posted March 13, 2026
Type Full-Time
Experience mid
Exp. Years 4+ years
Education Bachelor's degree in software engineering/ Computer Science or related discipline with 2+ years of relevant work experience OR Master's in relevant disciplines OR PhD degree in relevant disciplines
Category AI & Machine Learning

This role involves designing, developing, and deploying AI and GenAI features into medical devices, focusing on cloud and edge deployment, model optimization, and regulatory compliance.

  • Develop and deploy AI software
  • Optimize models for real-time inference
  • Build containerized AI services
  • Support MLOps and monitoring
  • Ensure regulatory compliance

The technical environment includes AI/ML model deployment, containerization with Docker, orchestration with Kubernetes, cloud platforms (Azure, GCP, AWS), and medical device standards.

The ideal candidate is a mid-level AI deployment engineer with at least 4 years of experience in deploying AI/ML models on cloud and edge devices, proficient in Python, C++, containerization, and cloud platforms, with knowledge of medical device standards.

PythonC++DockerCI/CDCloud deploymentAI/ML model deploymentmicroservicesKubernetesregulatory standards
LLMsGenAImicroservices experiencemodel optimization techniquesvoice AImultimodal AI
DockerDocker ComposeAzureGCPAWSPrometheusGrafanaAzure Monitor
AIArtificial IntelligenceMLMachine LearningPythonC++DockerKubernetesMicroservicesModel OptimizationONNX RuntimeTensorRTOpenVINOCoreMLLLMsGenAIregulatory standardsISO 13485IEC 62304ISO 14971
PythonC++DockerDocker ComposeCI/CDGitAzureGCPAWSONNX RuntimequantizationpruningTensorRTOpenVINOCoreMLLLMsmicroservicesKubernetesPrometheusGrafanaAzure MonitorISO 13485IEC 62304ISO 14971
collaborationregulatory compliancesoftware verificationsoftware validationdocumentationreviewproblem-solving
Industry Healthcare & Medical
Job Function AI deployment and optimization for medical devices
AIArtificial IntelligenceMLMachine LearningPythonC++DockerKubernetesMicroservicesModel OptimizationONNX RuntimeTensorRTOpenVINOCoreMLLLMsGenAIregulatory standardsISO 13485IEC 62304ISO 14971

Lack of experience with cloud deployment (Azure, GCP, AWS), No experience with regulatory standards (ISO 13485, IEC 62304, ISO 14971), Less than 2 years of relevant work experience, No experience with AI/ML model deployment

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