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Machine Learning Engineer (Credit Risk & Decisioning) - Remote Canada
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AI Summary
Own ML infrastructure for serving, evaluation, red-teaming, and continuous improvement of governance models to make Postgres a first-class AI agent platform. Build low-latency serving, eval pipelines, red-team harnesses, and self-improvement loops for EDB's AI agent infrastructure. Requires 4-7 years of ML software engineering experience with LLM/agentic systems, production ML serving, PostgreSQL fluency, and a security-first mindset.
Key Highlights
100% remote role
Own ML infrastructure for AI agent governance models
Low-latency serving, evaluation, red-teaming, and continuous improvement
Requires 4-7 years of ML software engineering experience
PostgreSQL and SQL fluency required
Key Responsibilities
Own ML infrastructure spanning serving, evaluation, red-teaming, and continuous improvement for governance models
Build low-latency serving, eval pipelines, and model registry capabilities
Implement research-to-production workflows including quantization/distillation, drift monitoring, shadow deployment, and telemetry-to-training pipelines
Build red-team harnesses with attack orchestration, scorecards, regression suites, and CI gating
Create self-improvement loops with continuous retraining, dataset curation from audit trails, and gated auto-rollout
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Technical Skills Required
Benefits & Perks
Access to CuraLinc health and wellness support
Wellness Fridays extending to December 2026
Range of benefits and perks
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
Nice to Have
Experience building auto-retraining loops from production telemetry/audit data
Familiarity with MCP, tool registries, and agent orchestration patterns
Postgres extension development in C or Rust, or contributions to the Postgres ecosystem
Job Description
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