Machine Learning Engineer in Toronto

Machine Learning Engineer in Toronto

Toronto Full-Time 108000 - 132000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Develop and optimize machine learning systems for innovative AI solutions.
  • Company: Join a forward-thinking tech company focused on AI advancements.
  • Benefits: Enjoy competitive salary, flexible work options, and growth opportunities.
  • Other info: Collaborative environment with exciting projects and career development.
  • Why this job: Make an impact in the AI field while working with cutting-edge technologies.
  • Qualifications: Degree in Computer Science or related field; strong Python and ML framework skills.

The predicted salary is between 108000 - 132000 $ per year.

Location

Remote / Hybrid / On-site Employment Type

Full-Time About the Role

We are looking for a skilled Machine Learning Engineer to develop, deploy, and optimize machine learning systems that power innovative AI solutions.

You will work closely with data scientists and software engineers to build scalable ML applications for our clients.

Key Responsibilities

Design and develop machine learning pipelines and workflows.

Build, train, and evaluate machine learning models.

Optimize models for performance, scalability, and production environments.

Prepare and process large datasets for model training and validation.

Deploy machine learning solutions into production systems.

Monitor model performance and implement continuous improvements.

Collaborate with cross-functional teams on AI implementation projects.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

Strong knowledge of Python and machine learning frameworks such as Tensor Flow or Py Torch.

Experience with data preprocessing, feature engineering, and model evaluation techniques.

Understanding of cloud technologies and containerized deployments.

Excellent problem-solving and debugging skills.

Preferred Skills

Experience with MLOps, Docker, and Kubernetes. Familiarity with NLP, computer vision, and deep learning techniques. Knowledge of CI/CD pipelines and model monitoring tools.

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Machine Learning Engineer in Toronto employer: Sequoia Technologies

Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions as a Machine Learning Engineer will directly impact the development of cutting-edge AI systems. With flexible remote or on-site work options, you will have the opportunity to grow your skills alongside a talented team, while enjoying a supportive environment that prioritizes employee development and well-being.

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Contact Details:

Sequoia Technologies Recruitment Team

We think you need these skills to ace Machine Learning Engineer in Toronto

Machine Learning
Python
TensorFlow
PyTorch
Data Preprocessing
Feature Engineering
Model Evaluation Techniques