Назад
Company hidden
обновлено 1 день назад

Senior Applied AI/ML Developer (RAG)

123 000 - 180 400CAD
Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Applied AI/ML Developer (RAG): Designing and delivering machine learning capabilities for Autodesk’s RAG platforms with an accent on NLP, information retrieval, evaluation, and production ML. Focus on building POCs, generating training datasets, performing offline and online evaluation, and solving complex customer and business problems with statistical and machine learning methods.

Location: Remote from Ontario, Canada

Salary: CAD 123,000–180,400 annually, with potential bonuses, stock grants, and benefits.

Company

hirify.global develops software that helps innovators design and make buildings, products, factories, vehicles, and media.

What you will do

  • Design and implement machine learning capabilities that improve RAG platforms.
  • Perform statistical and data analysis to generate datasets for model training and development.
  • Build proofs of concept and plan end-to-end offline and online evaluation of ML features.
  • Collaborate with multidisciplinary stakeholders to translate business objectives into data, statistics, and machine learning solutions.
  • Provide technical leadership and mentorship while coordinating delivery of production ML features.
  • Apply current NLP, NLU, information retrieval, and machine learning techniques to customer-facing platform problems.

Requirements

  • Master’s degree or PhD in computer science, statistics, mathematics, physics, software development, economics, computational linguistics, or a related field.
  • At least 3 years of relevant machine learning experience.
  • Hands-on experience with NLU and integrating traditional search techniques into RAG systems.
  • Proficiency with the Python machine learning stack, including Pandas, deep learning frameworks, traditional ML, and probability calibration.
  • Knowledge of experimental design and results analysis.
  • Experience leading ML teams and delivering production machine learning features in cross-functional environments.

Culture & Benefits

  • Collaborative, supportive, and continuously learning team environment.
  • Agile, hands-on, and technically focused working approach.
  • Emphasis on knowledge sharing and personal development.
  • Competitive compensation package with potential annual bonuses, stock grants, and comprehensive benefits.
  • Remote work arrangement for candidates based in Ontario, Canada.

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 →