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About the Role:
- You will build production-grade ML infrastructure for AI governance and trust, supporting next-generation AI agents.
- You will turn ML research into low-latency production systems with strong operational controls.
Key Accountabilities:
- Own ML infrastructure for governance models: serving, evaluation, monitoring, red-teaming.
- Build low-latency model-serving systems and evaluation pipelines for production.
- Develop telemetry-to-training pipelines and continuous self-improvement workflows.
Requirements:
- 4-7 years ML software engineering experience with LLM-based systems.
- Strong production experience with model serving, quantization, and distillation.
- Experience with red-team testing, drift monitoring, and shadow deployment.
Benefits:
- 100% remote work within EMEA region.
- Access to health and wellness resources.
- Wellness Fridays through December 2026.
Partner Company
The company builds AI governance and trust infrastructure, including production ML systems for AI agents. It offers a remote-first, international engineering organization with a focus on security and reliability.