Ingénieur ML Sénior — Optimisation & Déploiement d’IA in Québec

Ingénieur ML Sénior — Optimisation & Déploiement d’IA in Québec

Québec Full-Time 108000 - 132000 $ / year (est.) On-site
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At a Glance

  • Tasks: Optimise and deploy AI models while conducting rapid experiments.
  • Company: Innovative tech company seeking a Senior ML Engineer.
  • Benefits: Competitive salary, health benefits, and dynamic work environment.
  • Other info: Exciting opportunities for growth in a fast-paced setting.
  • Why this job: Join a team tackling real-world challenges with cutting-edge AI technology.
  • Qualifications: 5+ years in machine learning, proficient in Python, AWS, and Kubernetes.

The predicted salary is between 108000 - 132000 $ per year.

Une société innovante dans le domaine technologique recherche un Développeur Sénior en Apprentissage Automatique pour optimiser le déploiement des modèles.

Vous contribuerez à réaliser des expérimentations rapides tout en améliorant les systèmes et modèles d'IA à grande échelle.

Une expérience de plus de 5 ans en apprentissage automatique est requise ainsi que des compétences en Python, AWS, et Kubernetes.

Un environnement dynamique avec des défis réels attend les candidats motivés. #J-18808-Ljbffr

Ingénieur ML Sénior — Optimisation & Déploiement d’IA in Québec employer: Coveo

Coveo is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for an Enterprise Architecture Analyst. With a strong focus on employee growth and continuous improvement, Coveo offers opportunities to engage in meaningful projects that drive technology decisions and enhance business processes. Located in a dynamic environment, employees benefit from a supportive team atmosphere that values creativity and adaptability, ensuring every team member can contribute to the company's unified vision.

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Contact Details:

Coveo Recruitment Team

We think you need these skills to ace Ingénieur ML Sénior — Optimisation & Déploiement d’IA in Québec

Machine Learning
Python
AWS
Kubernetes
Model Deployment
Rapid Experimentation
AI Systems Improvement