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11 дней назад

Senior Software Engineer (AI Platform)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Finland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Software Engineer (AI Platform) (Python/ML): Building backend services and ML-based solutions for campaign optimization and advertising workflows with an accent on production software, cloud infrastructure, and machine learning integration. Focus on bringing models to production, designing reliable microservices, and improving architecture, monitoring, testing, and scalability.

Location: Helsinki, Finland; hybrid work with 3 days per week in the office. The option to work abroad is available for up to 30 days.

Company

hirify.global is an AI-powered advertising technology company providing media, creative, and intelligence solutions for brands and advertisers.

What you will do

  • Design, build, and maintain backend services for campaign optimization products.
  • Support data scientists in bringing machine learning models into production.
  • Improve software architecture, coding practices, testing, monitoring, tools, and processes.
  • Contribute to planning, retrospectives, team improvement, knowledge sharing, and pair programming.
  • Collaborate with product, engineering, infrastructure, and customer stakeholders to translate business needs into viable solutions.
  • Mentor colleagues on software development practices and help maintain services under SLA.

Requirements

  • 5+ years of experience developing and deploying production-quality software.
  • Strong Python skills and experience maintaining services under SLA.
  • 2+ years of experience with cloud infrastructure such as AWS or GCP.
  • Strong written and verbal communication skills in English.
  • Ability to work 3 days per week from the Helsinki office.
  • Analytical, adaptable, and resilient approach to solving complex customer and technical challenges.

Nice to have

  • Experience with Node.js, React, and TypeScript.
  • Hands-on experience with modern machine learning frameworks such as PyTorch or TensorFlow.
  • Knowledge of MLOps tools and concepts such as MLflow or Kubeflow.
  • M.Sc. in a relevant field.

Culture & Benefits

  • Inclusive environment with colleagues representing more than 60 nationalities across 13 countries.
  • Hybrid workplace combining office and remote work.
  • Healthcare packages, mental health services, paid holidays, and family leave.
  • Equity options, performance-based rewards, competitive compensation, and career development opportunities.
  • Work-life balance supported by flexible working arrangements and the option to work abroad for up to 30 days.

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