We are looking for an AI associate in the area of deep learning and computational vision. He/She is required to have work/research experience in deep learning and knowledge of TensorFlow / Keras / PyTorch. Knowledge of 3D printing experience is an asset. As this AI project collaborates with the University of Toronto, students or recent graduates (Master’s degree within three years) are preferred. This job also offers the prospect to use supercomputer resources and the University’s 3D printer lab.

Responsibilities
Work closely with our Data Engineering, Data Analytics and Machine Learning teams on Product focused projects
Be the gatekeeper that ensures our Data Scientists and Machine Learning teams have robust, reliable data
Work with up-to-date big data tools like BigQuery, Kafka, Airflow, Python etc
Work with operational teams to provide them with self-service tools and guidance
Build well tested, up-to-date and documented datasets that the rest of the company can use to answer questions
Apply software engineering and CI/CD best practices to our software
Set up monitoring,



testing and automation for our software
Maintain data documentation and lineage
Enhance our data process performance and reliability
Be a champion for proper version control, testing and continuous integration best practices

Requirments
Proven ability to work independently and proactively.
Experience working in modern, cloud-first environments (AWS, GCP or Azure).
Very strong SQL proficiency. BigQuery specific experience is highly desirable
Experience with software development languages such as Python or R for data transformation
Experience working with RDBMS and understanding of Cloud Data warehouses
Experience automating data tasks
Experience with CI/CD tools and best practices. Git, Docker, Airflow, Jenkins etc
Keen interest in learning more about programming, up-to-date data stacks, ML and data engineering
Knowledge of 3D printing experience is an asset
Experience working with Automotive industry data

📌 Ai Engineering Associate Markham
🏢 Cloud 3D Print
📍 Markham