Назад
Company hidden
7 дней назад

Senior Machine Learning Engineer (AI)

135 000 - 185 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Machine Learning Engineer (AI): Building end-to-end machine learning systems for content and contributor intelligence across large textual and visual datasets with an accent on neural networks, large language models, computer vision, and multimodal embeddings. Focus on fine-tuning transformer models, productionizing automated Python pipelines, and deploying models for batch and real-time services.

Location: Hybrid across Canada; applicants may be based anywhere in Canada.

Salary: $135,000–$185,000 annually.

Company

hirify.global connects people with local businesses through a platform supported by machine learning and artificial intelligence.

What you will do

  • Conduct end-to-end analyses, including data wrangling with SQL or Python, statistical modeling, hypothesis development, and presentation of business ideas.
  • Work with large and complex textual and visual datasets for content and contributor intelligence.
  • Develop and deploy machine learning models for offline batch products and online real-time services.
  • Fine-tune transformer models to derive embeddings for text, images, and videos.
  • Productionize and automate model pipelines within Python services and contribute to the ML platforms supporting them.
  • Mentor junior and newer engineers while advocating best practices in machine learning development and operations.

Requirements

  • Experience developing and productionizing machine learning models, particularly neural networks, computer vision, and LLMs, including their supporting data pipelines.
  • Experience with machine learning packages including PyTorch, TensorFlow, Spark MLlib, XGBoost, and scikit-learn.
  • Strong coding skills in Python or an equivalent language such as Java or C++.
  • Solid understanding of engineering and infrastructure best practices.
  • Curiosity to identify solutions to new problems and persistence to carry ideas through to completion.

Nice to have

  • Experience working with LLMs, using LLM APIs such as OpenAI or Bedrock, prompt engineering, and model evaluation.

Culture & Benefits

  • Cooperative, collaborative engineering environment that values authenticity and creative problem-solving.
  • Support from managers, mentors, and teams to broaden individual impact and grow engineering skills.
  • Opportunity to deploy working code during the first week.
  • Five-star benefits package.
  • Hybrid work option available across Canada.

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