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Première détection par notre source: il y a 28 jours

AI Engineer - Canada (Remote)

@ Yeah! Global

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Montréal, Québec

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SIGNAUX

En bref

Yeah! Global is hiring seven AI Engineers for a client based in California to build a new team. The role designs, develops and deploys AI solutions that improve the client's products and services. The position is remote within Canada.

Responsabilités :

  • Design and implement advanced machine learning algorithms
  • Analyze large datasets and improve model performance
  • Integrate and deploy AI models into production
  • Collaborate with data scientists, engineers and product managers
  • Create documentation for AI models and systems

Résumé des exigences :

  • Bachelor's or Master's degree in computer science, engineering or related field
  • Proficiency in Python, R or Java
  • Experience with TensorFlow, PyTorch or scikit-learn
  • Professional experience deploying AI models
  • Strong analytical and communication skills

Outils et compétences

PythonRJavaTensorFlowPyTorchscikit-learnHadoopSparkAWS
Source et dates

Type de source non vérifié · manatal

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-10-13
Mise à jour du dossier source
2026-10-13

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

DomaineDéveloppement logiciel
Déplacementsavion : aucun · route : aucun
Milieu de travailDomicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Maîtrise (préféré), Doctorat (préféré)
Domaines d’étudesComputer Science, Engineering, Artificial Intelligence, Machine Learning, Data Science

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

Yeah! Global

Toutes ses offres
ChampValeur
Offres sur Jobsy32
Description

Overview:

One of our clients based in California, USA is building a new team and looking for 7 highly skilled and motivated AI Engineers globally to join their dynamic team. As an AI Engineer, you will be pivotal in designing, developing, and deploying state-of-the-art AI solutions that enhance the capabilities of our products and services, driving efficiency and innovation.

Key Responsibilities:

  • Design and implement advanced machine learning algorithms to solve complex problems.
  • Analyze large datasets to extract valuable insights and improve model performance.
  • Train machine learning models and evaluate their performance using various metrics and methodologies.
  • Integrate AI solutions into existing systems to enhance functionality and performance.
  • Stay updated with the latest trends in AI and machine learning, applying this knowledge to drive innovation within the team.
  • Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver high-quality AI solutions.
  • Deploy AI models into production environments, ensuring their ongoing performance and reliability.
  • Create comprehensive documentation for AI models, algorithms, and systems to facilitate knowledge sharing and maintenance.

Qualifications:

  • Bachelors or Masters degree in Computer Science, Engineering, or a related field.
  • Proficiency in programming languages such as Python, R, or Java, and strong understanding of machine learning frameworks like TensorFlow, PyTorch, and scikit-learn.
  • Demonstrated experience in developing and deploying AI models in a professional setting.
  • Strong analytical and problem-solving skills with experience in working with large datasets.
  • Excellent verbal and written communication skills to explain complex AI concepts to non-technical stakeholders.
  • Ability to work collaboratively in a team environment and contribute to project success.

Preferred Qualifications:

  • Ph.D. in AI, Machine Learning, Data Science, or a related field.
  • Experience in applying AI techniques in industries such as healthcare, finance, or e-commerce.
  • Familiarity with big data platforms like Hadoop, Spark, and AWS.
  • Published research in reputable AI or machine learning conferences or journals.

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Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

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