Data Operations Engineer: Ground Truth & ML Pipelines

Flosonics; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A medical technology company located in Toronto is seeking a Data Engineer to strengthen its data infrastructure. The successful candidate will develop and manage systems for real-time data monitoring and algorithm support. Ideal applicants have a Bachelor’s degree in a relevant discipline, extensive Python and SQL skills, and at least 5 years of related experience. The position offers an opportunity to work on cutting-edge medical devices for improved patient treatment and outcomes.

Qualifications

• 5+ years of industry experience in data engineering, ML Ops, or similar roles.
• Demonstrated experience in developing and monitoring algorithms for data labeling and quality control.
• Strong skills in Python, especially with pandas and NumPy.

Responsibilities

• Develop, maintain, and monitor infrastructure for generating ground truth data.
• Create and maintain datasets to support model training and evaluation.
• Work with engineering teams on automated reporting systems.

Skills

Python

SQL

Machine Learning

Data Engineering

Data Visualization

Education

Bachelor's degree in a relevant field

Master's degree in Machine Learning or Data Engineering

Tools

PostgreSQL

DBT

Airflow

Streamlit

Tableau

Job description

A medical technology company located in Toronto is seeking a Data Engineer to strengthen its data infrastructure. The successful candidate will develop and manage systems for real-time data monitoring and algorithm support. Ideal applicants have a Bachelor’s degree in a relevant discipline, extensive Python and SQL skills, and at least 5 years of related experience. The position offers an opportunity to work on cutting-edge medical devices for improved patient treatment and outcomes.