Job Search and Career Advice Platform

Activez les alertes d’offres d’emploi par e-mail !

ML Ops Engineer: Build & Scale Production Models

Match Group

Paris

Sur place

EUR 60 000 - 80 000

Plein temps

Aujourd’hui
Soyez parmi les premiers à postuler

Générez un CV personnalisé en quelques minutes

Décrochez un entretien et gagnez plus. En savoir plus

Résumé du poste

A leading online dating platform located in Paris is seeking a Data Scientist to design and implement ML pipelines and manage CI/CD workflows. The role involves collaborating with international teams across various platforms, ensuring the reliability of ML systems, and driving a data-driven culture. The ideal candidate will have an engineering or master’s degree with 5–6 years of related experience and strong Python and machine learning skills. The company offers a modern work environment with a focus on work-life balance.

Prestations

Edenred lunch vouchers
Discounted ClassPass subscription
Premium healthcare with WTW
Sustainable mobility package
E-learning and conferences
Social events and hackathons

Qualifications

  • At least 5–6 years of experience in similar roles.
  • Strong understanding of model serving constraints.
  • Experience operating ML systems in production.

Responsabilités

  • Design, implement and maintain ML pipelines and CI/CD workflows.
  • Expose ML models through inference APIs.
  • Own monitoring, alerting and reliability of ML systems.

Connaissances

Machine Learning
Python
CI/CD
Docker
Terraform
Monitoring & alerting
Data quality
Analytical skills
Communication

Formation

Engineering degree or Master’s in Mathematics or Computer Science

Outils

Google Vertex AI
BigQuery
Kafka
Elasticsearch
Spark
Description du poste
A leading online dating platform located in Paris is seeking a Data Scientist to design and implement ML pipelines and manage CI/CD workflows. The role involves collaborating with international teams across various platforms, ensuring the reliability of ML systems, and driving a data-driven culture. The ideal candidate will have an engineering or master’s degree with 5–6 years of related experience and strong Python and machine learning skills. The company offers a modern work environment with a focus on work-life balance.
Obtenez votre examen gratuit et confidentiel de votre CV.
ou faites glisser et déposez un fichier PDF, DOC, DOCX, ODT ou PAGES jusqu’à 5 Mo.