Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Company hidden предлагает понятную роль на стыке прикладного ИИ и управления моделями, с масштабными корпоративными задачами и широкими возможностями развития; 60% работы в офисе и обязанности на производственных площадках ограничивают гибкость.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
HR AI Solutions and Governance Specialist (AI/ML): Designing and governing HR AI solutions, agent workflows, and automated compliance reporting with an accent on model governance, data privacy, and ethical AI. Focus on building GenAI agents, orchestrating integrations with Workday and ATS platforms, auditing models for bias, and securing HR data foundations.
Location: Herndon Area, Virginia, United States; hybrid with 60% onsite and 40% remote work
Salary: $120,000–$135,000 per year
Company
hirify.global is an aerospace and defense company with a global HR Digital team supporting employee experience and enterprise technology initiatives.
What you will do
Design and implement HR agent workflows for policy retrieval, onboarding triage, automated compliance reporting, and other HR automation use cases.
Drive AI automation initiatives across North American HR functions and connect HR strategy with technical execution.
Develop prompt architectures and orchestrate tool calling with Workday and applicant tracking systems.
Audit AI models for bias and compliance with EEOC guidelines and the EU AI Act.
Establish model governance, monitoring, validation, data privacy, and lifecycle controls for HR AI solutions.
Secure compliance data foundations through tagging, data catalogues, line-of-sight auditing, and data governance.
Requirements
Bachelor’s or master’s degree in computer science, statistics, engineering, another quantitative field, or an equivalent combination of professional experience and education.
At least 4 years of professional technical experience, preferably in data science, machine learning, or a related field, including at least 4 years in statistical analysis and classical machine learning.
At least 2 years of experience in model governance, AI ethics, and data privacy.
At least 2 years of Generative AI development experience, including agentic workflows and prompt engineering.
Experience with Google Cloud Platform or AWS and related AI, machine learning, and data engineering services, including examples such as Vertex AI, AutoML, AI Infrastructure, S3, Data Factory, BigQuery, or Bedrock.
Expertise in end-to-end AI/ML solution design, deployment, and governance.
Strong Python programming skills and familiarity with TensorFlow, PyTorch, LangChain, and Scikit-learn.
Understanding of GDPR and ethical AI frameworks, plus the ability to explain technical and governance concepts to non-technical stakeholders.
Strong attention to detail, communication, presentation, and time management skills.
Nice to have
Knowledge of ETL processes and data engineering tools such as PySpark, Airflow, or Databricks.
Culture & Benefits
Direct-hire, full-time employment with flexible hybrid work.
Paid time off, holidays, paid parental leave, retirement savings, 401(k), ESOP participation, and performance-based bonuses.
Tuition assistance and development opportunities through Leadership University and access to more than 10,000 e-learning courses.
Applicants must be eligible to work in the United States without current or future visa sponsorship.
The role requires occasional travel, visits to office and production areas, and the ability to lift or carry equipment up to 30 lbs.
Hiring process
Apply online; a full job description is provided to candidates who progress to the interview stage or upon request.
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