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3 дня назад

ML Engineer – Generative AI & LLMs (Remote)

Формат работы
remote (Global)
Тип работы
fulltime
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
ML Engineer – Generative AI & LLMs (Remote) (Generative AI/LLMs): Designing, prototyping, and productizing scalable machine learning solutions with an accent on LLM engineering, real-world data, and production-ready services. Focus on building agentic systems, rapidly turning research ideas into deployable tools, and applying Python-based machine learning to business and product outcomes.

Location: Remote. The company is based at 720 King St W, Toronto, Canada.

Company

hirify.global is a Toronto-based consulting firm providing engineering and data capabilities to startups and Fortune 500 clients.

What you will do

  • Design, prototype, and productize scalable machine learning solutions using LLMs and real-world data.
  • Build and improve LLM-powered systems and explore agentic capabilities such as tool use, memory, planning, and multi-agent coordination.
  • Rapidly prototype emerging tools and research ideas, then turn successful prototypes into production-ready services.
  • Collaborate closely with clients, engineers, and data scientists on open-ended technical and business problems.
  • Assess data quality and its impact on product and business outcomes.

Requirements

  • Expertise in LLM engineering, including familiarity with major LLM providers and their best practices.
  • Experience with statistics and machine learning, plus hands-on proficiency with the Python ML stack, including Pandas, NumPy, scikit-learn, XGBoost, and PyTorch.
  • Proficiency with Git, Docker, SQL, Bash, and FastAPI.
  • Ability to prototype quickly and deliver production-ready services.
  • Strong analytical thinking and business acumen.
  • Bachelor’s degree or higher in Computer Science or a related coding-focused engineering field.

Nice to have

  • Experience building agentic systems.
  • Familiarity with AWS or Azure, GitHub Actions, Spark, Neo4j Cypher, and graph databases.

Culture & Benefits

  • Remote contract position.
  • Competitive compensation.
  • Collaborative, high-performing environment with an emphasis on accountability and minimal micromanagement.
  • Opportunities for continuous learning and work on cutting-edge machine learning systems.

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