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Senior Software Engineer (AI Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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