Title: MLOPS Engineer
Location:Toronto,Ontario,/Mississauga,Ontario,
Duration: Fulltime permanent
Job Description
Required Qualifications:
At least 4 years of experience in Information Technology.
At least 4 years of experience in Information Technology in MLOPS.
At least 4 years of experience Python Programming for ML Model deployment with Clean code standards.
At least 4 years of experience in understanding of how Python works and expertise using Pandas, SKLearn, Dart, Gradient Boosting Machines Libraries (XGBoost, LightGBM, Catboost), Prophet, Ray and Dask.
At least 4 years of experience in AZURE or GCP Cloud environment.
Azure Certified – DP100, AZ/AI900 or GCP equivalent including DevOps certification.
Professional experience setting up MLOPs Framework, monitoring and dashboarding of MLOPs runs.
Deep understanding of traditional machine learning and the data science lifecycle, CRISP-DM knowledge.
At least 2 years of experience in MLOPS Framework, industry standards and operations KPI
Key Skills
Ranked by relevance
Related Jobs
3 roles aligned with this opportunity
Full Stack Software Engineer (f/m/d)
2026-05-21
Data Scientist (Askuity division)
2026-05-26
DevOps Engineer (all genders)
2026-05-28
- Posted
- Feb 11, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Canada
- Company
- Avance Consulting
Industries
Categories
Related Jobs
3 roles aligned with this opportunity
Full Stack Software Engineer (f/m/d)
2026-05-21
Data Scientist (Askuity division)
2026-05-26
DevOps Engineer (all genders)
2026-05-28