EDB
EDB
501 – 1000 Darbinieki
B2BProgrammatūraUzņēmums
EDB izstrādā uzņēmumu programmatūru un sniedz pakalpojumus, kuru pamatā ir PostgreSQL — atvērtā pirmkoda datubāzu platforma. Tās risinājumi palīdz organizācijām ieviest, pārvaldīt, aizsargāt un mērogot datubāzu infrastruktūru, nodrošinot datubāzu pārvaldību, migrēšanu, optimizāciju, veiktspējas uzlabošanu, kā arī nepārtrauktu darbību un atbalstu. EDB apkalpo biznesa klientus, kuriem nepieciešami uzticami rīki un zināšanas uz datiem balstītu sistēmu pārvaldībai.

Machine Learning Engineer, Governance ML Platform (Europe Remote)

Build governance-focused machine learning infrastructure for EDB’s Postgres-based AI agent platform. Lead model serving, evaluation, red-team testing, and ongoing model improvement.

Apraksts

  • Own the infrastructure for governance models, covering serving, evaluation, red-team testing, and continuous improvement
  • Develop next-generation AI agent infrastructure built on Postgres
  • Create low-latency serving systems, evaluation pipelines, and model registry capabilities
  • Achieve sub-50ms inference latency through quantization and distillation
  • Establish drift monitoring, shadow deployments, telemetry-to-training pipelines, and model improvement workflows
  • Build attack orchestration, scorecards, regression suites, and CI gates for red-team testing
  • Develop continuous retraining, audit-trail dataset curation, and controlled auto-rollout processes

Prasības

  • Bring 4–7 years of professional machine learning software engineering experience, including hands-on work with LLM-based or agentic systems
  • Demonstrate strong production experience with ML serving, low-latency inference, and quantization or distillation
  • Have built evaluation pipelines and worked with model registries
  • Have developed red-team or adversarial testing harnesses with CI-gated regression suites
  • Have experience with drift monitoring and shadow deployments
  • Work fluently with SQL and PostgreSQL
  • Apply a security-first mindset and have experience in audited environments
  • Experience creating auto-retraining loops from production telemetry or audit data is advantageous
  • Familiarity with the Model Context Protocol (MCP), tool registries, and agent orchestration patterns is advantageous
  • Postgres extension development in C or Rust, or contributions to the Postgres ecosystem, is advantageous

Priekšrocības

  • Use CuraLinc resources for health and wellness guidance
  • Take advantage of Wellness Fridays through December 2026
  • Receive region-specific benefits, with details provided by the careers site and Talent Acquisition team

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