Machine Learning Engineer (Governance ML Platform)

📋 Description

• Own the machine learning infrastructure supporting governance models, including model serving
• Build and maintain low-latency model-serving systems and evaluation pipelines designed for
• Develop and manage model registries and supporting infrastructure for reliable model lifecycle
• Translate research and experimental models into production systems, including optimization
• Build drift-monitoring and shadow-deployment capabilities to identify changes in model behavior and
• Develop telemetry-to-training pipelines that turn production signals and audit data into actionable

🎯 Requirements

• 4–7 years of professional experience in machine learning software engineering, with hands-on
• Strong production experience with ML model serving, particularly low-latency inference
• Proven experience building evaluation pipelines and working with model registries.
• Experience designing red-team or adversarial testing frameworks, including regression testing and
• Practical experience with model drift monitoring and shadow deployment strategies.
• Strong SQL skills and solid working knowledge of PostgreSQL.

🎁 Benefits

• 100% remote work within the EMEA region.
• Opportunity to work on emerging AI agent infrastructure and machine learning governance
• Hands-on ownership of production ML infrastructure spanning serving, evaluation, security testing
• Opportunity to work at the intersection of machine learning, AI agents, PostgreSQL, security, and
• Access to health and wellness resources, including CuraLinc.
• Wellness Fridays available through December 2026.