12 часов назад
Machine Learning Engineer (AI Privacy)
80 000 - 120 000€
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
Machine Learning Engineer (AI Privacy): Building and tuning de-identification models and high-throughput data pipelines for Workday’s anonymization platform with an accent on privacy engineering, model optimization, and production-scale ML operations. Focus on implementing differential privacy and group anonymization techniques, evaluating privacy-utility trade-offs, and solving scalability and reliability challenges across Spark, EMR, SageMaker, and AWS.
Location: Dublin, Ireland; hybrid work with at least 50% of each quarter spent in the office or in the field
Base salary: €80,000–€120,000 per year in Ireland, with potential bonus and stock grants.
Company
is a Fortune 500 company and AI platform for managing people, money, and intelligent agents.
What you will do
- Build and tune machine learning models and data pipelines for ogham, ’s enterprise de-identification engine.
- Implement and evaluate differential privacy and group anonymization techniques, including k-anonymity, l-diversity, and t-closeness.
- Develop and improve NER, pattern-matching, de-identification, and anonymization models while balancing accuracy, latency, and compute efficiency.
- Own data exploration, transformation, feature and prompt engineering, model design, and production operations across Spark, EMR, and SageMaker batch pipelines.
- Diagnose production issues such as memory errors and capacity constraints and help scale reliable ML systems.
- Collaborate with platform, infrastructure, product engineering, legal, and compliance stakeholders, communicating technical and architectural decisions clearly.
Requirements
- 5+ years of hands-on experience in Machine Learning Engineering or Data Science, or equivalent research experience through a Ph.D.
- Proficiency in Python and modern machine learning frameworks such as PyTorch or TensorFlow.
- Experience building and operating large-scale data processing pipelines with Spark or equivalent distributed frameworks.
- Hands-on experience deploying, scaling, and maintaining production ML systems on AWS or an equivalent cloud platform.
- Bachelor’s degree in Computer Science, Physics, Mathematics, or a related quantitative field, or equivalent practical experience.
Nice to have
- Experience or research background in de-identification, group anonymization, differential privacy, or synthetic data generation.
- Experience with classification, NER, transformer architectures, Hugging Face, LLM fine-tuning, and GPU inference optimization.
- Exposure to agent execution, orchestration, or LLM evaluation frameworks such as LangGraph and LangSmith.
- Knowledge of Responsible AI, bias and fairness evaluation, GDPR, and CCPA.
Culture & Benefits
- Flexible work combines in-person collaboration with remote work.
- Opportunities to work with AI privacy, Responsible AI, and enterprise-scale anonymization systems.
- Potential eligibility for the Bonus Plan or role-specific bonus.
- Potential annual refresh stock grants.
- Equal opportunity employment and reasonable accommodations throughout the application and employment process.
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