ML Engineer – IA Générative, MLOps, Télétravail Québec in Montréal

ML Engineer – IA Générative, MLOps, Télétravail Québec in Montréal

Montréal Full-Time 82800 - 101200 $ / year (est.) On-site
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At a Glance

  • Tasks: Transform ML/AI prototypes into reliable production systems for exciting client projects.
  • Company: Join Abbeal, a forward-thinking company in the AI and data lab space.
  • Benefits: Enjoy remote work flexibility and a permanent position with a dynamic team.
  • Other info: Collaborate in a small, technical team with opportunities for growth.
  • Why this job: Make a real impact in AI while working on innovative projects with cutting-edge technology.
  • Qualifications: Proficiency in Python and experience in ML production are essential.

The predicted salary is between 82800 - 101200 $ per year.

Abbeal recrute un(e) ML Engineer en télétravail pour Montréal, en poste permanent dans un lab IA et données.

Vous transformerez des prototypes ML/IA en systèmes fiables, en production, sur plusieurs projets clients.

Vous travaillerez dans une petite équipe technique, avec des missions d’ingénierie des données, développement d’API et pipelines d’entraînement et d’inférence.

Maîtrise Python et expérience en ML en production requises.

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ML Engineer – IA Générative, MLOps, Télétravail Québec in Montréal employer: Abbeal

Abbeal is an exceptional employer, offering a dynamic work environment within the AI Factory of a leading Canadian bank in Montreal. With a strong focus on employee growth and collaboration, team members benefit from hybrid work arrangements, opportunities to engage with cutting-edge AI technologies, and a culture that values innovation and continuous improvement. Join us to be part of a dedicated team that is shaping the future of banking through advanced AI solutions.

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Contact Details:

Abbeal Recruitment Team

We think you need these skills to ace ML Engineer – IA Générative, MLOps, Télétravail Québec in Montréal

Machine Learning
Python
Data Engineering
API Development
Production Systems
MLOps
Pipeline Development