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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$174к-261к/год
$170к$190кмедиана$210к
По похожим ролям (50) ~ $190к/год
На СНГ рынке: $4.2к/мес ($3.1к - $5к)
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Хорошая вакансия
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Это senior-роль в сфере AI и платформ данных в крупной технологической компании: обязанности по работе с production-системами понятны, а пакет льгот сильный. При этом обязательная работа в офисе пять дней в неделю и отсутствие визового спонсорства ограничивают доступность вакансии.
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Только офисБез спонсорства визыПонятные задачиСильный пакет льготРабота с AI
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Data/AI Engineering (AI/MLOps): Supporting and optimizing enterprise AI and data platforms, including scalable data pipelines, AI workflows, and model operations with an accent on reliability, security, and production performance. Focus on designing platform automation, monitoring data and model quality, troubleshooting production systems, and operationalizing generative AI solutions with cross-functional teams.
Location: Full-time onsite role in Middletown, New Jersey, or Plano, Texas; performed from the designated work location five days per week. No relocation is offered.
Salary: $174,100–$261,100 USD annually.
Company
AT&T develops communications and technology solutions and uses large-scale data and generative AI to improve customer and business outcomes.
What you will do
Support and optimize enterprise AI and data platforms for reliable, scalable, and secure AI-driven operations.
Design, implement, and maintain data pipelines, platform automation, AI workflows, and operational processes.
Monitor platform health and data quality while supporting production systems and continuous improvement.
Operationalize AI capabilities with data scientists, AI engineers, software developers, and business stakeholders.
Improve platform performance and deliver business value through data-driven innovation.
Requirements
7+ years of experience in data engineering, AI/ML operations, platform engineering, analytics engineering, or related technology disciplines.
Experience supporting enterprise-scale AI, machine learning, and data platforms in production.
Strong knowledge of AI platforms, AI tooling, and MLOps frameworks.
Experience designing, building, and maintaining scalable data pipelines, data integration solutions, and AI workflows.
Proficiency with cloud-based data and AI ecosystems such as Azure, AWS, or Google Cloud.
Experience with model deployment, monitoring, and performance optimization.
Proficiency in Python, SQL, and modern data engineering technologies.
Experience with structured, unstructured, and streaming data environments.
Strong collaboration, problem-solving, troubleshooting, production support, operational excellence, and continuous improvement skills.
Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical field is preferred; relevant cloud, AI, data engineering, or platform certifications may be required based on business needs.
Applicants requiring employer sponsorship now or in the future will not be hired.
Culture & Benefits
Regular full-time schedule of 40 hours per week.
Medical, dental, and vision coverage, 401(k), disability and life insurance, and supplemental benefit programs.
At least 23 vacation days annually, nine company-designated holidays, paid parental and caregiver leave, and additional sick leave may be available.
Tuition reimbursement, adoption reimbursement, employee assistance, and wellness programs.
Employee discounts of up to 50% on eligible AT&T mobility, internet, fiber, and phone products.
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