Production ML Engineer – Remote Ad Tech

Perion Network Ltd.

Montpellier

Hybride

EUR 65 000 - 90 000

Plein temps

14 jours+
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Résumé du poste

Perion Network Ltd. seeks a skilled ML Engineer to design, build and deploy bid optimization pipelines that feed directly into ad buying platforms.

You will own features end-to-end, from ideation through production deployment, working on production-grade backend services and integrating MCP for extended data sources. Based in Montpellier or Paris with flexible remote options, the role emphasizes statistical rigor, model evaluation, and collaboration in a small team to impact campaign performance

Qualifications

  • 3+ years of experience combining machine learning, data science or backend engineering at an intermediate to senior level.
  • Strong Python skills and production-ready code; LLM assistance is encouraged but not required.
  • Solid grounding in statistics and ML, including model building, evaluation and pipeline design.
  • Proven ability to own features end-to-end in a small team.
  • English proficiency in writing and speaking.

Responsabilités

  • Build and deploy bid optimization ML pipelines feeding ad buying platforms.
  • Design statistical frameworks to evaluate and improve KPI performance for clients.
  • Develop production-grade backend services to expose ML outputs via API.
  • Wire MCP servers to extend Outmax's agentic offering with new data sources.
  • Own features end-to-end from ideation to deployment in a small team.

Connaissances

Python
ML
Statistics
Backend engineering
English

Outils

LangChain
MCP

Description du poste

Perion Network Ltd. seeks a skilled ML Engineer to design, build and deploy bid optimization pipelines that feed directly into ad buying platforms.

You will own features end-to-end, from ideation through production deployment, working on production-grade backend services and integrating MCP for extended data sources. Based in Montpellier or Paris with flexible remote options, the role emphasizes statistical rigor, model evaluation, and collaboration in a small team to impact campaign performance

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