6 дней назад
Senior ML Engineer (AI Safety)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior ML Engineer (AI Safety): Designing and governing safety-critical GenAI systems with an accent on Responsible AI frameworks, evaluation pipelines, explainability, and regulatory alignment. Focus on red-teaming, adversarial robustness testing, incident response, model audits, and embedding AI safety requirements into financial-services solutions.
Location: Remote from São Carlos, Brazil
Company
is a global data and technology company operating across financial services, healthcare, automotive, agribusiness, insurance, and other markets.
What you will do
- Design and implement Responsible AI frameworks, governance policies, and safety guardrails for GenAI systems.
- Own AI safety evaluation pipelines covering red-teaming, adversarial robustness, jailbreak and prompt-injection testing, and automated benchmarks.
- Develop explainability and interpretability tooling for model audits, regulatory reviews, and communication of model limitations.
- Partner with risk, compliance, legal, privacy, security, product, and engineering stakeholders to embed safety requirements into scalable GenAI solutions.
- Lead incident response, root-cause analysis, post-incident reviews, and remediation playbooks for AI safety issues.
- Mentor engineers and contribute to GenAI solutions for fraud detection, credit risk, customer service automation, and platform initiatives.
Requirements
- Experience in machine learning, data science, or software engineering with a focus on AI safety, alignment, Responsible AI, or model governance.
- Strong Python skills and proficiency with TensorFlow, PyTorch, scikit-learn, or equivalent ML tooling.
- Hands-on MLOps experience with MLflow, Kubeflow, ML CI/CD, model monitoring, versioning, and reproducible deployment.
- Knowledge of red-teaming, adversarial testing, fairness metrics, interpretability methods, and alignment approaches.
- Understanding of AI governance, model risk management, and regulatory expectations in financial services.
- Advanced English proficiency is required for daily interaction with global teams.
Nice to have
- Experience with automated benchmark suites for LLMs or other GenAI systems.
- Familiarity with bias detection, harm classification, content safety tooling, or policy evaluation frameworks.
- Experience with regulated financial-services use cases or model risk management.
- Experience influencing engineering standards or mentoring engineers in AI safety and production ML practices.
Culture & Benefits
- Permanent, full-time role in the Technology department.
- People-centric, inclusive, and purpose-driven culture.
- Global organization with 25,200 employees across 32 countries.
- Programs and affinity groups supporting inclusion and professional development.
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