ML Ops Engineer

 MLOps Engineer – Help Scale Responsible AI for Public ImpactStart date: As soon as possible Location: Netherlands (remote-friendly) Contract: Freelance or temporary position (with potential for extension) Screening: Certificate of conduct (VOG) required About ObjectiveyeWe are Objectiveye, a TNO spin-off focused on skill-based hiring and responsible AI systems. We build machine learning solutions that prioritize fairness, transparency, and reproducibility — fully aligned with the EU AI Act.Our work supports transformative technology across key public institutions, including the Dutch Tax Authority, various Ministries, and the Dutch Central Bank. We operate at the intersection of applied science, public value, and operational reliability, with a strong commitment to responsible, explainable AI. Your Role – MLOps for Auditable, Reproducible AIAs an MLOps Engineer, you play a key role in making our systems scalable, reliable, and auditable — enabling fair, science-driven hiring at scale. You’ll work on a stack that supports safe experimentation, structured evaluation, and automated deployment — all while meeting transparency and compliance standards.This is a unique opportunity to contribute to technology that serves the public, with real-world deployments in high-impact environments. What You’ll DoDesign and manage config-driven pipelines for data and models, including safe versioning and rollbackStandardize evaluation across performance, fairness, latency, and consistency, with clear documentationBuild monitoring systems for drift, bias, freshness, and failure, with response playbooksIntegrate and track LLM endpoints, including prompts, config traces, and reproducible runsMaintain audit-readiness and transparency, aligned with the AI Act and internal oversightYou’ll work closely with our AI Lead and collaborate within a small, impact-driven team. What You BringEngineering craftsmanship: Clean, testable Python code, CI/CD, schemas, resilient I/OMLOps discipline: Orchestrated pipelines, lineage tracking, job safety, registry awarenessML & LLM evaluation mindset: Sound splits, prompt assessment, fairness metricsGovernance & risk awareness: Audit logs, secret handling, monitoring, human oversightTeamwork & communication: Cross-functional collaboration tied to outcomes Our Tech Stack (Indicative)Python, pytest, asyncioPydantic, FastAPIPrefect, Dagster, or AirflowMLflow or similarDocker, GitHub ActionsAzure (Container Apps, Key Vault, Blob, Cosmos DB, pgvector)Polars, Pandas, NumPyBasic PyTorch/TensorFlow, NLTK, spaCyNote: Tools are flexible if you bring the right skills. Why Join Objectiveye?Work on technology with public purpose, deployed in real-world institutionsJoin a team where scientific rigor, responsible design, and public value are part of the DNABe part of a small but growing spin-off with live customer deploymentsCollaborate with experts across AI, security, legal, and product disciplines Start Date & ScreeningStart date: As soon as possibleA valid Certificate of Conduct (VOG) is required for working with our clients How to ApplySend us a short motivation and your CV or portfolio. We review applications on a rolling basis.