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Senior Software Engineer (AI Platform)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
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 and maintaining backend services and ML-based solutions for campaign optimization and advertising workflows with an accent on productionizing machine learning models, scalable microservices, and customer-focused architecture. Focus on designing reliable services, supporting MLOps practices, and improving testing, monitoring, and software architecture.

Location: Berlin, Germany; hybrid work with attendance at the office three days per week. Working abroad is available for up to 30 days.

Company

AI-powered advertising technology company building an integrated media, creative, and intelligence platform for brands and advertisers.

What you will do

  • Design, build, and maintain backend services for campaign optimization products.
  • Build and deploy AI-based solutions across media, creative, and advertising workflows.
  • Support data scientists in bringing machine learning models into production.
  • Contribute to planning, retrospectives, team improvement, and software development practices.
  • Mentor colleagues on testing, monitoring, clean code, and other engineering best practices.
  • Work with product, engineering, infrastructure, and customer stakeholders to translate business needs into viable technical solutions.

Requirements

  • Strong Python skills and 5+ years of experience developing and deploying production-quality software.
  • 2+ years of experience with cloud infrastructure such as AWS or GCP.
  • Experience developing and maintaining services under SLA.
  • Strong written and verbal communication skills in English.
  • Ability to work three days per week from the Berlin office.
  • Analytical, adaptable, resilient, and customer-focused approach to solving 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 concepts and tools such as MLflow or Kubeflow.
  • M.Sc. in a relevant field.

Culture & Benefits

  • Inclusive, international environment with colleagues from more than 60 nationalities across 13 countries.
  • Hybrid workplace with the option to work abroad for up to 30 days.
  • Healthcare packages, mental health services, paid holidays, and family leave.
  • Equity options, performance-based rewards, competitive compensation, and career development opportunities.

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