Program  

Courses
Location
Corporate
Student Success
Resources
Bootcamp Programs
Short Courses
Portfolio Courses
Bootcamp Programs

Launch your career in Data and AI through our bootcamp programs

  • Industry-leading curriculum
  • Real portfolio/industry projects
  • Career support program
  • Both Full-time & Part-time options.
Data Science Bootcamp

Become a data engineer by learning how to build end-to-end data pipelines

 

Become a data analyst through building hands-on data/business use cases

Become an AI/ML engineer by getting specialized in deep learning, computer vision, NLP, and MLOps

Become a DevOps Engineer by learning AWS, Docker, Kubernetes, IaaS, IaC (Terraform), and CI/CD

Short Courses

Improve your data & AI skills through self-paced and instructor-led courses

  • Industry-leading curriculum
  • Portfolio projects
  • Part-time flexible schedule
Portfolio Courses

Learn to build impressive data/AI portfolio projects that get you hired

  • Portfolio project workshops
  • Work on real industry data & AI project
  • Job readiness assessment
  • Career support & job referrals

Build data strategies and solve ML challenges for real clients

Help real clients build BI dashboard and tell data stories

Build end to end data pipelines in the cloud for real clients

Location

Choose to learn at your comfort home or at one of our campuses

Corporate Partners

We’ve partnered with many companies on corporate upskilling, branding events, talent acquisition, as well as consulting services.

AI/Data Transformations with our customized and proven curriculum

Do you need expert help on data strategies and project implementations? 

Hire Data, AI, and Engineering talents from WeCloudData

Student Success

Meet our amazing alumni working in the Data industry

Read our students’ stories on how WeCloudData have transformed their career

Resources

Check out our events and blog posts to learn and connect with like-minded professionals working in the industry

Read blogs and updates from our community and alumni

Explore different Data Science career paths and how to get started

Our free courses and workshops gives you the skills and knowledge needed to transform your career in tech

Machine Learning Engineer

Permanent •

 Toronto, Ontario

Employer: WeCloudData Inc.

Business address: 431-433 Yonge Street, Toronto, ON M5B 1T3

  • Position Title: Machine Learning Engineer (NOC 21211)
  • Terms of Employment Full time permanent with 40 hours/week
  • Language of work: English
  • Tentative start date: March 1st, 2023

Job duties:

  • Design deep learning algorithms and apply them to practical Natural Language Processing and Time Series analysis use cases
  • Lead and supervise junior data scientists and machine learning engineers on ML projects and provide technical guidance to the development team.
  • Work with the internal data scientists and engineers to engineer and maintain multiple data and ML pipelines.
  • Deploy end-to-end ML models from data collection, feature engineering, to model training, deployment, and monitoring.
  • Work with internal data team on building AI-driven data products to support the growth of multiple  platforms.
  • Lead the work on AI consulting projects to assist clients solve tough data & AI challenges.
  • Help consulting clients train, fine-tune, and deploy computer vision and NLP deep learning models in both development and production environments.
  • Work in agile project management teams and act as scrum masters.

Preferred Skills

  • Proven practical experience with a leading machine learning platform such as Tensorflow or PyTorch – Pretrained models, and fine-tuning.
  • Strong MLOps experience with the ability to facilitate deployment of ML models for scoring via cloud platforms such as AWS or on edge devices
  • Familiarity with DevOps CI/CD concepts and tools such as Jenkins, Github Action, etc.
  • Strong ability to deploy ML pipelines in various ways including Flask, SageMaker, Tensorflow Serving in a dockerized environment
  • Experienced with model monitoring in production
  • Hands-on knowledge of latest microntrollers and SBC’s such as Raspberry Pi and Nvidia’s Jetson series. Including deployment and optimization of the ML models, and interfacing with peripherals such as stereo cameras and various other sensors.
  • Linux DevOps and server management.
  • Great documentation skills

Must have

  • 1-2 years experience in a similar role.
  • A core understanding of the latest developments in machine learning, and in particular Deep Learning.
  • A strong passion in both ML project implementation and education
  • The ability to package experiments, demos and lessons via a version control platform such as GitHub or GitLab.

Location of work: Toronto, Ontario

Email address for resume submissions

Machine Learning Engineer

Permanent •

 Toronto, Ontario