Principal Machine Learning Engineer

About the role

Ryz Labs is seeking a Principal Machine Learning Engineer to lead the design and delivery of next‑generation AI platforms for a key international client. The role blends distributed systems architecture, hands‑on MLOps, and large language model engineering, working remotely with candidates located in LATAM.

Key responsibilities

• Deploy, monitor, and optimize AI models at scale, managing performance, hallucination rates, drift, latency, and infrastructure costs.
• Design distributed, event‑driven microservices using Python, Go, or TypeScript and build IaC and CI/CD pipelines for production services.
• Implement AI security and governance frameworks, including agent permission structures, human‑in‑the‑loop workflows, data isolation, and prompt‑injection defenses.
• Collaborate with Product Managers and client stakeholders to translate business requirements into scalable architectures and present trade‑offs to executives.

Required profile

• 12‑15+ years of software engineering experience with a progression from backend/distributed systems to production ML engineering.
• Deep expertise in MLOps, model evaluation, advanced Retrieval‑Augmented Generation, vector search (embeddings, HNSW, hybrid), and fine‑tuning of LLMs.
• Strong mastery of distributed systems, microservices, and asynchronous event‑driven patterns in Python, Go, or TypeScript.
• Hands‑on experience with Docker, cloud platforms (AWS, GCP, Azure), and automated CI/CD pipelines.
• Practical knowledge of LLM safety, threat modeling, data boundary enforcement, and agent security.

Required skills

• Python
• Go
• TypeScript
• Docker
• AWS
• GCP
• Azure
• CI/CD pipelines
• MLOps
• RAG (Retrieval‑Augmented Generation)
• Vector search (embeddings, HNSW, hybrid)
• LLM fine‑tuning
• AI security and governance