aipythonsqldata engineeringazuredata modelingapisinstructional designdataopstechnical training
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$170к$190кмедиана$225к
50 в выборке
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
81
Хорошая вакансия
развернуть
У роли понятная зона ответственности, заметная техническая составляющая и работа на стыке обучения и развивающегося индустриального ИИ; при этом стоит учитывать поездки и широкий набор задач.
Регулярные поездки
?Широкий круг задач
Индустриальный ИИ
Влияние на обучение
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Cognite Academy Engineer (Industrial AI): Building scalable technical learning experiences for Cognite Data Fusion and industrial AI solutions with an accent on data engineering, instructional design, and hands-on training delivery. Focus on translating complex data platforms into courses, labs, demonstrations, and bootcamps while solving practical customer and partner enablement challenges.
Location: USA (Phoenix); international and regional travel for training events is expected up to 25% of the time.
Company
hirify.global builds industrial AI and data solutions that help organizations improve operations and accelerate digital transformation.
What you will do
Develop technical subject-matter expertise in hirify.global Data Fusion and the broader hirify.global product portfolio.
Identify customer, partner, and internal knowledge gaps and translate them into courses, learning paths, labs, and technical training.
Develop digital learning assets using tools such as Synthesia and Articulate Rise, including video, animations, and interactive activities.
Deliver virtual and in-person training from foundational CDF Fundamentals courses to advanced multi-day CDF Delivery Bootcamps.
Collaborate with Product, Engineering, Professional Services, Customer Success, and subject-matter experts to improve implementation enablement and learning effectiveness.
Requirements
Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Engineering, or a related technical discipline.
5+ years of professional experience in a technical role such as Data Engineer, Data Scientist, Software Engineer, Solutions Architect, or Technical Consultant.
Strong hands-on experience with Python and SQL.
Experience with data platforms, DataOps technologies, cloud platforms, or industrial data environments.
Experience with Microsoft Azure and Azure Active Directory.
Strong understanding of data engineering, data modeling, APIs, and cloud-based data platforms.
Experience delivering technical training, workshops, bootcamps, demonstrations, or technical presentations to professional audiences.
Experience creating technical learning content, documentation, tutorials, labs, or other educational materials; understanding of instructional design and adult learning methodologies.
Excellent verbal and written communication skills, with the ability to explain complex technical concepts to audiences with different levels of expertise.
Nice to have
Experience with hirify.global Data Fusion; experience with similar industrial data platforms or DataOps environments will also be considered.
Experience with learning management systems and digital authoring tools.
Familiarity with Skilljar, Articulate Rise, Articulate Storyline, Synthesia, or similar platforms.
Culture & Benefits
Work at the intersection of technology, education, customer success, and industrial AI.
Significant ownership over Academy curricula, learning experiences, and continuous improvement.
Competitive compensation.
401(k) with employer matching.
Health, dental, vision, and disability coverage for employees and dependents.
Unlimited PTO, paid parental leave, and an employee referral program.
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 →