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Machine Learning Engineer

2 months ago

Montreal, Canada StreetScan Full time

Machine Learning Engineer / Ingénieur en apprentissage automatique


**La version anglaise suivra**


Nous sommes à la recherche d'un ingénieur expérimenté en Machine Learning avec une solide expérience en Python, TensorFlow, PyTorch, et en visualisation de données. Le candidat idéal aura plus de 10 ans d'expérience et une expérience éprouvée dans la construction et le déploiement de modèles d'apprentissage automatique.


Principales responsabilités :

  • Concevoir, développer et déployer des modèles d'apprentissage automatique.
  • Collaborer avec les data scientists et les ingénieurs pour intégrer les modèles dans les systèmes de production.
  • Effectuer le prétraitement des données, l'ingénierie des fonctionnalités et l'évaluation des modèles.
  • Développer et maintenir des pipelines de données pour l'intégration et le déploiement continus des modèles d'apprentissage automatique.
  • Créer des visualisations de données pour communiquer les idées et les performances des modèles.
  • Se tenir au courant des dernières tendances et avancées en matière d'apprentissage automatique et d'IA.


Compétences et qualifications requises :

  • Plus de 10 ans d'expérience en programmation Python.
  • Expérience approfondie de TensorFlow et PyTorch.
  • Solide connaissance des algorithmes d'apprentissage automatique et des techniques d'apprentissage profond.
  • Maîtrise des outils de visualisation de données tels que Matplotlib, Seaborn ou Plotly.
  • Expérience du prétraitement des données et de l'ingénierie des caractéristiques.
  • Familiarité avec les plateformes cloud (AWS, Azure, GCP) et la conteneurisation (Docker, Kubernetes).
  • Excellentes compétences en matière de résolution de problèmes et souci du détail.
  • Solides compétences en communication et capacité à travailler en collaboration dans un environnement d'équipe.


Qualifications préférées :

  • Expérience des technologies big data (par exemple, Hadoop, Spark).
  • Connaissance du traitement du langage naturel (NLP) et de la vision par ordinateur.
  • Familiarité avec les méthodologies de développement Agile/Scrum.
  • Expérience avec les pipelines CI/CD pour les modèles ML.


Ce que nous offrons :

  • Un salaire et des avantages compétitifs.
  • Des opportunités de croissance et de développement professionnels.
  • Un environnement de travail collaboratif et innovant.
  • La possibilité de travailler sur des projets stimulants et enrichissants.


Comment postuler ? Les candidats intéressés doivent envoyer leur CV et leur lettre de motivation à l'adresse steffi.ung@streetscan.com avec pour objet « Machine Learning Engineer Application - [Your Name] ».


**English Version below**


Job Description: We are seeking an experienced Machine Learning Engineer with a strong background in Python, TensorFlow, PyTorch, and data visualization. The ideal candidate will have over 10 years of experience and a proven track record of building and deploying machine learning models.


Key Responsibilities:

  • Design, develop, and deploy machine learning models.
  • Collaborate with data scientists and engineers to integrate models into production systems.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Develop and maintain data pipelines for continuous integration and deployment of ML models.
  • Create data visualizations to communicate insights and model performance.
  • Stay updated with the latest trends and advancements in machine learning and AI.


Required Skills and Qualifications:

  • 10+ years of experience in Python programming.
  • Extensive experience with TensorFlow and PyTorch.
  • Strong knowledge of machine learning algorithms and deep learning techniques.
  • Proficiency in data visualization tools such as Matplotlib, Seaborn, or Plotly.
  • Experience with data preprocessing and feature engineering.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and ability to work collaboratively in a team environment.


Preferred Qualifications:

  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of natural language processing (NLP) and computer vision.
  • Familiarity with Agile/Scrum development methodologies.
  • Experience with CI/CD pipelines for ML models.


What We Offer:

  • Competitive salary and benefits.
  • Opportunities for professional growth and development.
  • A collaborative and innovative work environment.
  • The chance to work on challenging and rewarding projects.


How to Apply: Interested candidates should send their resume and cover letter to steffi.ung@streetscan.com with the subject line "Machine Learning Engineer Application - [Your Name]".