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AI Machine Learning Engineer (Hybrid – Montreal) - Jobs in Montréal

WonderBotz
Job LocationMontréal
EducationNot Mentioned
SalaryNot Mentioned
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent

Job Description

Description :As a consulting company, Invoke drives business transformation through the lens of Intelligent Automation. With 4 offices spread across the globe, we #39;ve been used to remote collaboration well before 2020 forced us to be. No matter where you #39;re working from or which team you #39;re on, we are all working towards one goal: delivering innovative solutions and exceptional support. What You #39;ll Be Doing:

  • Evaluate long-term direction and recommend solutions to scale with our rapid growth,
  • Collaborate with team members on key architecture decisions
  • Develop high-quality machine learning models and solutions that align with the needs and regulations
  • Regularly collaborate with other developers, project managers, and customers to successfully complete projects.
  • Participate in regular code reviews, often in a mentorship role with other engineers, and ensure compliance with relevant standards and guidelines.
  • Create and refine best practices, coding standards, and documentation, share knowledge and insights with the team.
  • Make recommendations to refine and improve our engineering practices
Qualifications for Ideal Candidate:
  • Bachelor #39;s or master’s degree in computer science, computer engineering, or a related technical field.
  • 3+ years of experience in software engineering working with one or more of the following programming languages: Python, Ruby, NodeJS, Java, C#.
  • 3+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, artificial intelligence, or a related technical field.
  • Proven experience leading and managing machine learning, deep learning, and AI projects
  • Experience with Open-Source Large Language Models (LLMs) and complementary tools:PyTorch, tensorflow, LangChain, LLAMA CCP, etc.
  • Experience with developing machine learning models at scale from inception to business impact
  • Track record of setting technical direction for a team, driving consensus, and establishing successful cross-functional partnerships
  • Experience with containerization and container orchestration technologies (e.g., Docker, Kubernetes, Airflow) and their application to machine learning workflows
  • Experience with cloud-based services; AWS preferred (e.g., EKS, Lambda, Sagemaker), with a strong understanding of cloud security practices and compliance requirements
  • Experience with DevOps practices and CI/CD tools (e.g., Git, GitHub Actions), ensuring reliable and compliant software delivery
  • Proven experience as a solution architect, software architect, or a similar role, with a focus on machine learning, and a deep
  • Excellent problem-solving and analytical skills, with the ability to translate complex business requirements into technical solutions
  • Effective communication and presentation skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders
WonderBotz is an Equal Employment Opportunity employer.Powered by JazzHR

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