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4 дня назад

Product Developer (AI Focused)

Формат работы
remote (только Canada)/hybrid/onsite
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

Текст:
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TL;DR
Product Developer (AI Focused) (Python/C#/C++/MLOps): Building foundational systems, services, and tooling for AI-driven capabilities across shipbuilding software solutions with an accent on backend engineering, scalable distributed systems, and AI/ML infrastructure. Focus on operationalizing intelligent features, designing reliable software services, and integrating MLOps tooling such as MLflow, Kubeflow, or Azure ML.

Location: Victoria, British Columbia, Canada; work may be in-office, hybrid, or remote depending on location

Company

hirify.global is a global software company providing shipbuilding software solutions for the offshore and marine industries.

What you will do

  • Build foundational systems, services, and tooling that enable AI-driven capabilities across ship design and production software.
  • Design, develop, test, and maintain software according to development standards and coding guidelines.
  • Collaborate with product teams, platform engineers, and architects to operationalize intelligent features.
  • Troubleshoot and resolve software defects, performance issues, security concerns, and other technical problems.
  • Research and recommend tools, technologies, and process improvements that enhance software quality and productivity.
  • Document technical issues, resolutions, development decisions, and development standards.

Requirements

  • Degree in Computer Science, Software Engineering, or a related discipline.
  • Solid software development experience focused on backend or systems engineering.
  • Proficiency in Python, C#, or C++.
  • Experience designing and building scalable, distributed systems.
  • Experience with AI/ML infrastructure or MLOps tooling such as MLflow, Kubeflow, or Azure ML.

Nice to have

  • Exposure to data engineering frameworks and streaming technologies.
  • Experience working with large datasets, particularly in engineering or CAD-related domains.
  • Knowledge of Docker and Kubernetes.
  • Familiarity with spatial data and CAD systems.

Culture & Benefits

  • Permanent, full-time employment with a full benefits package.
  • Competitive wages, profit-sharing, and education benefits.
  • Self-paced learning opportunities.
  • Opportunity to work from home on a full or partial basis.
  • Inclusive workplace with self-directed teams, Agile principles, and a flat organizational structure.

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