Machine Learning Engineer

Avance Consulting; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

Join a dynamic team as a Machine Learning Engineer at a forward-thinking consulting firm. This role requires a strong background in MLOps and Python programming, with a focus on deploying machine learning models. You will work in a collaborative environment, utilizing your expertise in cloud platforms like Azure and GCP, and contribute to innovative projects that shape the future of technology. If you're passionate about machine learning and thrive in agile settings, this opportunity is perfect for you!

Qualifications

• 6+ years in IT with 4+ years in MLOps and Python programming.
• Experience in Azure or GCP cloud environments and setting up MLOps frameworks.

Skills

Python Programming

MLOps

Azure

GCP

Pandas

SKLearn

Dart

Gradient Boosting Libraries

Ray

Dask

Tools

JIRA

Git

REST APIs

Pytest

Job description

Job Title: Machine Learning Engineer

Be among the first 25 applicants two days ago and get AI-powered advice on this job along with exclusive features. Direct message the job poster from Avance Consulting.

Minimum Qualifications:

1. At least 6+ years of experience in Information Technology.
2. At least 4 years of experience in Information Technology in MLOPS.
3. At least 4 years of experience in Python programming for ML model deployment, adhering to clean code standards.
4. At least 4 years of experience with Python and expertise in Pandas, SKLearn, Dart, Gradient Boosting Libraries (XGBoost, LightGBM, CatBoost), Prophet, Ray, and Dask.
5. At least 4 years of experience in Azure or GCP cloud environments.
6. Professional experience setting up MLOps frameworks, monitoring, and dashboarding of MLOps runs.
7. Deep understanding of traditional machine learning and the data science lifecycle, including CRISP-DM knowledge.
8. At least 2 years of experience in MLOps frameworks, industry standards, and operational KPIs.

Preferred Qualifications:

• Experience working in Agile environments, managing team efforts, and tracking progress through JIRA.
• Strong client communication skills.
• Domain experience in Retail, CPG, and Logistics.
• Experience with Test Driven Development, Pytest frameworks, Git version control, and REST APIs.

Additional Details:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Other
• Industries: IT Services and IT Consulting