AI & ML engineer
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Summary
Builds and ships machine-learning models end to end: developing in Python and PyTorch (with LLM techniques like RAG and ReAct-style agent architectures), packaging in Docker, serving via KServe/Vertex AI on Google Cloud, and running CI/CD, production monitoring, drift detection, and advanced rollout strategies.
Job Summary (List Format): - Develop and deploy machine learning models using Python and PyTorch. - Apply knowledge of transformer architectures and agent architectures such as ReAct. - Work with Retrieval-Augmented Generation (RAG) techniques. - Utilize Google Cloud Platform (GCP) services for cloud-based ML workflows. - Package and serve models using Docker containers and KServe/Vertex AI endpoints. - Manage cloud databases and integrate with feature and model registries. - Implement CI/CD pi…