Principal ML Engineer: Real-Time, Scalable AI Leader

Harnham

Paris

Hybride

EUR 120 000 - 150 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

4.5-day week
Longevity bonus
Wellbeing initiatives
Career progression

Résumé du poste

Harnham in Paris is seeking a Principal Machine Learning Engineer to lead and shape ML strategy in a hybrid setting. You’ll balance technical leadership with hands-on model development in large-scale real-time systems across production environments.

Join a profitable AI-driven business focused on competitive ML infrastructure, recommender and bidding systems, and customer lifetime value modelling. The role offers progression, strong collaboration and a 4.5-day week with Friday afternoons off.

Qualifications

  • Strong track record of delivering ML systems in production.
  • Experience deploying models at scale in real-time environments.
  • Excellent communication skills with technical and non-technical stakeholders.

Responsabilités

  • Define technical direction for ML systems and frameworks.
  • Design, develop and optimise ML models for large-scale production use.
  • Lead the development of recommender engines, bidding algorithms and audience targeting systems.
  • Build mobile attribution models and solutions focused on LTV and churn prediction.
  • Drive MLOps best practices including model monitoring, observability and retraining.
  • Enhance ML infrastructure, experimentation platforms and deployment processes.
  • Collaborate with engineering leaders to align ML initiatives with business goals.
  • Mentor engineers and influence architectural decisions across teams.

Connaissances

ML systems production
Model deployment at scale
Python
PyTorch
TensorFlow
MLOps
Recommendation systems
LTV modelling
Churn prediction
Real-time systems

Formation

PhD in STEM

Description du poste

Harnham in Paris is seeking a Principal Machine Learning Engineer to lead and shape ML strategy in a hybrid setting. You’ll balance technical leadership with hands-on model development in large-scale real-time systems across production environments.

Join a profitable AI-driven business focused on competitive ML infrastructure, recommender and bidding systems, and customer lifetime value modelling. The role offers progression, strong collaboration and a 4.5-day week with Friday afternoons off.

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