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Experian
H1B Visa SponsorConsultingLogisticsMarketing
Experian works with recognized brands on digital experience, technology, and business transformation. Its work combines customer insight, product strategy, agile technology solutions, AI, cloud architecture, and project management to help organizations improve customer experiences and streamline operations. The company’s broad technology and consulting focus may appeal to professionals interested in roles spanning digital transformation, marketing, logistics, and related business services.
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Senior Machine Learning Engineer, AI Safety

Lead Responsible AI frameworks, safety evaluation, and governance for Experian’s global data and technology products. Help advance secure generative AI applications across financial services and other markets.

BRBrazilMLMaliRemoteFull-timeSeniorEnglish RequiredAI EngineerMachine Learning Engineer
PythonPyTorchScikit-LearnTensorflow

Description

  • Design and implement Responsible AI frameworks, governance policies, and safety guardrails for generative AI systems
  • Own AI safety evaluation pipelines covering red teaming, adversarial robustness, jailbreak and prompt-injection testing, and automated safety benchmarks
  • Build explainability and interpretability tools for model audits, regulatory reviews, and clear communication of model behavior and limitations
  • Work with risk, compliance, legal, privacy, security, product, and engineering teams to integrate safety requirements into scalable generative AI solutions
  • Lead incident response and root-cause analysis for AI safety issues, including post-incident reviews and remediation playbooks
  • Contribute to generative AI solutions for fraud detection, credit risk, customer service automation, and platform initiatives
  • Mentor junior and mid-level engineers
  • Represent AI Safety in cross-functional forums
  • Set technical direction and promote AI safety best practices across the organization

Requirements

  • Background in machine learning, data science, or software engineering with a focus on AI safety, alignment, Responsible AI, or model governance
  • Strong Python programming skills
  • Proficiency with TensorFlow, PyTorch, scikit-learn, or comparable machine learning tooling
  • Hands-on MLOps experience with tools and practices such as MLflow, Kubeflow, ML CI/CD, model monitoring, versioning, and reproducible deployment
  • Knowledge of AI safety methods including red teaming, adversarial testing, fairness metrics, interpretability, and alignment approaches
  • Strong understanding of AI governance, model risk management, and financial-services regulatory expectations
  • Practical experience preparing documentation for audits or regulatory reviews is preferred
  • Excellent written and spoken English
  • Experience designing or operating automated benchmark suites for large language models or other generative AI systems
  • Familiarity with bias detection, harm classification, content safety tools, or policy evaluation frameworks
  • Experience with regulated financial-services applications such as fraud detection, credit risk, customer service automation, or model risk management
  • Experience shaping engineering standards or mentoring engineers in AI safety, Responsible AI, or production machine learning

Benefits

  • Remote work arrangement
  • Inclusive recruitment and professional development initiatives
  • Affinity groups including ExperianPride, Ubuntu, Women in Experian, Aspire, and Connecting Generations

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