AI/ML Engineer

Python. PyTorch. Understanding of transformer architecture. Agent architectures such as ReAct. GCP knowledge. Experience of docker and cloud databases. RAG. More: Skilled in packaging and serving models using containers and KServe/Vertex endpoints, as well as working with feature and model registries, CI/CD, model monitoring, and drift detection. Experienced with cost-efficient autoscaling, GPU scheduling, canary and shadow deployments, and A/B testing.