Senior ML Engineer – AI Safety

Job not on LinkedIn

🔥 12 hours ago

🌐 Mali, Brazil – Remote

🇲🇱 Mali – Remote 🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• Lead the design and implementation of Responsible AI frameworks, governance policies, and safety guardrails for GenAI systems • Define and own AI safety evaluation pipelines, including red-teaming, adversarial robustness testing, jailbreak and prompt injection assessments, and automated safety benchmarks • Develop explainability and interpretability tooling for model audits, regulatory reviews, and communication of model behavior and limitations • Partner with risk, compliance, legal, privacy, security, product, and engineering teams to embed safety requirements into scalable GenAI solutions • Lead incident response and root cause analysis for AI-related safety issues, including post-incident reviews and remediation playbooks • Contribute to GenAI-powered solutions in fraud detection, credit risk, customer service automation, and platform initiatives • Mentor junior and mid-level engineers and represent AI Safety in cross-functional forums • Shape technical strategy and drive adoption of AI safety best practices across the organisation

🎯 Requirements

• Experience in machine learning, data science, or software engineering, focused on AI safety, alignment, Responsible AI, or model governance • Strong Python skills • Proficiency with ML frameworks such as TensorFlow, PyTorch, scikit-learn, or equivalent tooling • Hands-on MLOps experience, including MLflow, Kubeflow, CI/CD for ML, model monitoring, versioning, and reproducible deployment practices • Knowledge of AI safety techniques including red-teaming, adversarial testing, fairness metrics, interpretability methods, and alignment approaches • Strong understanding of AI governance, model risk management, and regulatory expectations in financial services • Excellent written and verbal English skills • Advanced English proficiency with daily interaction with global teams • Experience preparing documentation for audit or regulatory review preferred • Experience designing or running automated benchmark suites for LLMs or other GenAI systems is nice-to-have • Familiarity with bias detection, harm classification, content safety tooling, or policy evaluation frameworks is nice-to-have • Experience with regulated financial services use cases is nice-to-have • Experience influencing engineering standards or mentoring engineers in AI safety, Responsible AI, or production ML practices is nice-to-have

🏖️ Benefits

• Inclusive recruitment and professional development initiatives • Affinity groups supporting underrepresented groups: ExperianPride, Ubuntu, Women in Experian, Aspire, and Connecting Generations