Principal ML Engineer

Technical leadership role on the core engineering team of an international client: taking AI models to production, designing distributed multi-tenant architectures, and building governance and security frameworks for AI agents. They seek 12-15+ years in software engineering and distributed systems with a clear evolution into production ML (MLOps, advanced RAG, vector search, fine-tuning), strong Python, Go or TypeScript, Docker, cloud and CI/CD skills, plus fluent English for executive communication.

Location per source: Argentina

Source: Himalayas

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