Senior MLOps Engineer / AI Platform Specialist
Core
Design, build, and operate production-grade machine learning platforms ensuring scalability, reliability, and secure deployment of AI solutions.
Role type
Senior MLOps Engineer / AI Platform Specialist
Builds
End-to-end MLOps pipelines, cloud-based ML platforms, and automated CI/CD workflows for model training and deployment.
Domain
Data & AI, Cloud Infrastructure, MLOps
Deliverable
production ML models
Required skills
MLOps pipeline design, cloud platform expertise (Azure/GCP), Python programming, containerization and orchestration (Docker, Kubernetes), CI/CD automation, model governance and lifecycle management, production monitoring and drift detection.
Preferred skills
Modern ML frameworks (PyTorch, MLflow), LLM and advanced AI architecture experience, regulated environment experience.
Technologies
Azure Machine Learning, GCP Vertex AI, Docker, Kubernetes, Python, PyTorch, MLflow.
Responsibilities
Design and implement end-to-end MLOps pipelines; Enable reliable deployment, versioning, and lifecycle management of ML models; Build and maintain ML platforms in cloud environments; Implement Infrastructure as Code and automated provisioning; Build and maintain CI/CD pipelines for ML and data workflows; Implement monitoring for models and data pipelines.
Seniority
Senior, hands-on IC
