6 часов назад
Machine Learning Engineer (Adtech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (Adtech) (Python/ML): Building and deploying bid-optimization pipelines, statistical evaluation frameworks, and production backend APIs for advertising campaign performance with an accent on machine learning, statistical rigor, and production-grade engineering. Focus on connecting model outputs to ad buying platforms, wiring MCP servers for agentic capabilities, and owning features from design through deployment and iteration.
Location: Paris or Montpellier, France, with flexible remote options
Company
is a global advertising technology company providing data-driven AI and machine learning solutions across search, social media, display, video, connected TV, and programmatic digital out-of-home advertising.
What you will do
- Build and deploy bid-optimization machine learning pipelines that integrate directly with ad buying platforms.
- Design statistical frameworks to evaluate and improve campaign KPI performance for brands and agencies.
- Develop production-grade backend services and APIs for exposing machine learning model outputs.
- Connect MCP servers to extend Outmax’s agentic offering with new data sources and actions.
- Own features end-to-end from ideation and scoping through deployment and iteration.
Requirements
- 3+ years of experience combining machine learning, data science, or backend engineering at an intermediate or senior level.
- Strong Python skills and the ability to write clean, production-ready code.
- Solid knowledge of statistics and machine learning, including model building, evaluation, and pipeline design.
- Experience owning features from design through production deployment in a small-team environment.
- Proficiency in English, both written and verbal, is essential.
Nice to have
- Experience with adtech platforms such as DSPs, SSPs, or campaign performance data.
- Hands-on experience with agentic AI frameworks or LLM tools such as MCP or LangChain.
Culture & Benefits
- Small team with high ownership and direct production impact.
- Flexible remote work options.
- AI assistance is encouraged for development, while maintaining production-quality engineering standards.
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