Senior ML Ops / LLM Ops Engineer

Role Overview

This role focuses on building and operating the ML Ops / LLM Ops pipeline that closes the loop: ingest production signal, redact it, store it, slice it, classify it, surface the failures, mine new eval cases, and alert on regressions.

What You Will Do

Design and build a source-agnostic ingestion pipeline for production ML / LLM traffic, design storage tiering, build slicing dashboards, enable autoraters, and implement PII redaction.

Why It Might Be a Fit

Must have proven experience building and operating data or ML platform systems in production, hands-on experience building and running ML / LLM evaluation systems, and strong understanding of how ML and LLM-based systems fail in production.

Requirements

• Proven experience building and operating data or ML platform systems in production
• Hands-on experience building and running ML / LLM evaluation systems in production
• Hands-on experience with LLM tracing and observability tooling
• Experience shipping PII redaction or comparable data-handling controls in a regulated or multi-tenant environment
• Strong understanding of how ML and LLM-based systems fail in production

Benefits

• Permanent job contract for a long term project
• Tech equipment + SIM Card + personal smartphone
• Health and Life Insurance
• Social events and team buildings
• Training in the latest technologies
• Coffee, fruits, snacks and a warm welcoming when you pass by the office