Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
развернуть
$68к-190к/год
$170к$200кмедиана$230к
По похожим ролям (50) ~ $200к/год
На СНГ рынке: $4.4к/мес ($3.7к - $5.9к)
80
Хорошая вакансия
развернуть
Здесь предстоит заниматься внедрением AI/ML в крупном корпоративном контексте, но поездки к клиентам могут занимать до 100% времени, а уровень роли по названию не вполне ясен.
Частые командировки
Современные AI-технологии
?Широкий охват задач
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI/ML Computational Science Associate Manager (AI/ML): Design, build, and operationalize production-ready AI and machine learning solutions for enterprise clients with an accent on deep learning, generative AI, scalable data pipelines, and MLOps/LLMOps. Focus on deploying models at scale, developing distributed and high-performance computing systems, and integrating reliable AI solutions into client production environments.
Location: Chicago, hirify.global Tower, Illinois, United States; hybrid workplace. Travel may be required from 0–100% depending on client and business needs.
Annual salary range for Illinois: $68,300–$190,400.
Company
hirify.global is a global professional services company helping enterprises and public-sector organizations build digital cores, optimize operations, and apply cloud, data, and AI capabilities.
What you will do
Formulate business problems into practical, efficient, and scalable AI and machine learning solutions.
Develop machine learning algorithms, computational systems, and scalable data pipelines for training and production using DevOps and MLOps.
Customize and apply deep learning and generative AI models, including solutions for edge devices and high-performance computing environments.
Research AI and high-performance computing algorithms, models, and simulations for complex client business problems.
Process large-scale datasets and implement efficient data storage, retrieval, monitoring, alerting, auditing, and model knowledge mechanisms.
Collaborate with business and technical stakeholders, including users, business owners, engineers, architects, and UI designers, to deliver end-to-end production solutions and justify model value.
Requirements
At least 4 years of experience as a machine learning engineer or scientist deploying models in production at scale, including monitoring, alerting, automatic bug filing, and auditing.
At least 4 years of experience applying theoretical computer science foundations, including computer system architecture, systems engineering, and programming.
At least 4 years of experience with distributed computing systems and architecture, including areas such as big data, high-performance computing, engineering simulations, scientific computing, grid and cloud computing, or distributed networks.
At least 2 years of experience building and deploying AI/ML-based software in a cloud environment.
Bachelor’s degree or equivalent experience; an equivalent requires at least 12 years of work experience. An associate degree requires at least 6 years of work experience.
Applicants for employment in the United States must already have work authorization that will not require current or future visa sponsorship.
Culture & Benefits
Hybrid work with potential client travel of 0–100% based on business needs.
Medical, dental, vision, life, and long-term disability coverage.
401(k) plan, bonus opportunities, paid holidays, and paid time off.
Commitment to inclusion, diversity, equal employment opportunity, and reasonable accommodation.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →