MLOps (Middle—Senior)

Що очікуємо

• 3+ years in MLOps, ML engineering, or DevOps for ML workloads.
• Hands-on cloud ops and deployment (AWS, Azure, or GCP).
• Docker, Kubernetes, CI/CD; Terraform or similar IaC.
• Python; experience with MLflow, Kubeflow, SageMaker / Azure ML or similar.
• Practical experience with GenAI/LLM apps in production (RAG, vector databases, LLM APIs).