Cloud Computer Vision Engineer: GCP & MLOps

Project Limited; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A technology solutions company in Toronto is seeking an experienced professional to develop and deploy advanced computer vision solutions on Google Cloud Platform. The ideal candidate possesses extensive expertise in deep learning frameworks such as PyTorch and TensorFlow, as well as skills in building scalable ML pipelines. You will drive innovation in data engineering while working in a collaborative environment that values creativity and problem-solving.

Qualifications

• 4+ years experience in computer vision, deep learning, or data engineering in production environments.
• Advanced proficiency with Python, PyTorch or TensorFlow, and GCP (Vertex AI, BigQuery).
• Proven success designing scalable data and ML pipelines.

Responsibilities

• Design, build, and deploy advanced computer vision solutions on Google Cloud Platform.
• Develop image similarity and object localization models.
• Train and fine-tune models using intelligent augmentation methods.
• Architect scalable ML and data pipelines using Vertex AI.
• Containerize workloads using Docker and manage CI/CD pipelines.

Skills

Computer vision

Deep learning

Python

PyTorch

TensorFlow

Google Cloud Platform

Tools

Docker

Vertex AI

BigQuery

FAISS

Cloud Run

Dataflow

Job description

A technology solutions company in Toronto is seeking an experienced professional to develop and deploy advanced computer vision solutions on Google Cloud Platform. The ideal candidate possesses extensive expertise in deep learning frameworks such as PyTorch and TensorFlow, as well as skills in building scalable ML pipelines. You will drive innovation in data engineering while working in a collaborative environment that values creativity and problem-solving.