Senior MLOps Architect - Scalable ML Platforms & CI/CD

Programmers.io

Detroit (MI)

Vor Ort

USD 150.000 - 190.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Programmers.io seeks an experienced MLOps Architect to design scalable ML platforms and production-grade ML/AI solutions. You will lead end-to-end ML model lifecycle, CI/CD pipelines, and cloud-native architectures using AWS/Azure/GCP.

Extensive collaboration with cross-functional teams and a focus on security, governance, and reliability are essential. The role requires hands-on experience with Docker, Kubernetes, MLflow, Kubeflow, and modern ML frameworks, plus strong cloud knowledge across

Qualifikationen

  • 8+ years in software/cloud/ML engineering with strong MLOps experience.
  • Hands-on with MLOps architecture and ML lifecycle management.
  • Experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Strong Docker, Kubernetes, and CI/CD experience.
  • Experience with MLflow, Kubeflow, SageMaker, Azure ML, or Vertex AI.
  • Knowledge of AWS, Azure, or GCP.

Aufgaben

  • Design and architect scalable MLOps platforms and ML infrastructure.
  • Build end-to-end ML model lifecycle from development to monitoring.
  • Develop CI/CD/CT pipelines for ML models and data workflows.
  • Implement model versioning, experiment tracking, and automated deployment.
  • Create ML solutions using AWS, Azure, or GCP cloud platforms.
  • Work with Docker and Kubernetes for containerized ML workloads.
  • Implement model monitoring, drift detection, and production observability.
  • Integrate data pipelines with ML training and inference workflows.
  • Establish security, governance, scalability, and reliability standards.
  • Collaborate with Data Scientists, ML Engineers, Data Engineers, DevOps, and Architecture teams.
  • Troubleshoot production ML systems and optimize deployment processes.

Kenntnisse

MLOps
ML lifecycle
Python
Docker
Kubernetes
CI/CD
Cloud platforms
Git/Jenkins
Terraform
Model monitoring

Tools

TensorFlow
PyTorch
Scikit-learn
MLflow
Kubeflow
SageMaker
Azure ML
Vertex AI

Jobbeschreibung

Programmers.io seeks an experienced MLOps Architect to design scalable ML platforms and production-grade ML/AI solutions. You will lead end-to-end ML model lifecycle, CI/CD pipelines, and cloud-native architectures using AWS/Azure/GCP.

Extensive collaboration with cross-functional teams and a focus on security, governance, and reliability are essential. The role requires hands-on experience with Docker, Kubernetes, MLflow, Kubeflow, and modern ML frameworks, plus strong cloud knowledge across

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