Machine Learning Engineer for Procurement Optimization

2 weeks ago


Montreal, Quebec, Canada GoMaterials Full time

GoMaterials is a fast-growing startup revolutionizing the procurement process in the landscape construction industry. We're seeking a highly skilled Machine Learning Engineer to join our team and help optimize how landscape contractors source plant and tree materials.

About the Role

We're looking for an experienced ML Engineer to develop, deploy, and optimize machine learning models and AI applications that solve complex business problems. You will collaborate with the product team, software engineers, and other stakeholders to build scalable AI solutions.

Key Responsibilities
  • Design, develop, and implement machine learning and deep learning algorithms and models.
  • Explore and define business problems, design and develop AI agent solutions for specific tasks.
  • Collaborate with product teams and engineers to transform raw data into actionable insights.
  • Design and develop AI agentic applications for automation tasks, familiar with tools and frameworks such as LangChain and Dify.
  • Train, test, and optimize models to ensure accuracy, efficiency, and scalability.
  • Deploy machine learning models into production environments, ensuring reliability and robustness.
  • Monitor and maintain machine learning pipelines, identifying areas for improvement or enhancement.
Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
  • Experience with AI agent solution development and framework.
  • Proven experience as a Machine Learning Engineer or similar role.
  • Strong programming skills in Python, R, or similar languages.
  • Familiarity with fine-tuning techniques on existing models.
  • Experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying machine learning models.
What We Offer
  • A competitive salary of $120,000 - $180,000 per year, depending on experience.
  • An Employee Stock Option Plan.
  • A great work environment and team culture.
  • Benefits including Telemedicine.
  • Work from home and remote work opportunities.
  • Vacation and paid time off.
  • Casual dress code.


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