Principal ML Engineer

Job not on LinkedIn

🔥 14 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ryz Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Ryz Labs is a company focused on building startups from the ground up and assisting other startups in scaling their operations. They provide top-tier technical talent solutions to ensure that emerging businesses can thrive in a competitive market.

📋 Description

• Deploy and manage AI models at scale. • Monitor model performance, hallucination rates, drift, latency, and infrastructure costs. • Design distributed, event-driven microservices using Python, Go, or TypeScript. • Build infrastructure-as-code and CI/CD pipelines to ship services. • Implement agent permission structures, human-in-the-loop workflows, data isolation boundaries, and prompt injection defenses. • Partner with Product Managers from inception to translate business requirements into scalable architectures. • Present architectural trade-offs to executives and key client stakeholders. • Shape next-generation AI platforms for an international client. • Serve as a trusted technical authority across production systems, applied AI, and engineering excellence.

🎯 Requirements

• 12–15+ years in software engineering, with a clear evolution from Backend/Distributed Systems Architecture into applied Production ML Engineering. • Deep experience with MLOps, model evaluation rubrics, advanced RAG, vector search (embeddings, HNSW, hybrid search), and fine-tuning. • Strong mastery of distributed systems, microservices, and asynchronous event-driven patterns in Python, Go, or TypeScript. • Hands-on command of Docker, cloud infrastructure (AWS/GCP/Azure), and automated CI/CD pipelines. • Practical knowledge of LLM safety, threat modeling, data boundary enforcement, and agent security. • Fluent English. • Ability to articulate complex technical trade-offs clearly to client executives and non-technical stakeholders. • Prior experience with multi-agent orchestration frameworks (e.g., LlamaIndex, Semantic Kernel, AutoGen, CrewAI, MCP) is nice-to-have. • Experience in fast-paced consulting, advisory, or high-growth tech platforms is nice-to-have.