Junior Machine Learning Engineer

Calliere Group; Montreal; Remote; CAD 60,000 - 75,000; Full time

Job summary

A technology consulting firm in Montreal is seeking a Junior Machine Learning Engineer to develop ML infrastructure. This role involves building predictive models and data pipelines on Google Cloud Platform, suitable for recent graduates or final-year students. The firm offers comprehensive mentorship and a clear career path. Ideal candidates have practical experience in ML, particularly with GCP tools.

Benefits

Mentorship program

Learning budget for courses

Modern tech stack with GCP tools

Qualifications

• Recent graduate or final year student, 0-2 years experience.
• Portfolio demonstrating predictive modeling projects is required.
• Understanding of machine learning fundamentals.

Responsibilities

• Develop predictive models and machine learning algorithms.
• Build data pipelines using Apache Airflow or Cloud Composer.
• Perform data cleaning and exploratory analysis.

Skills

Python programming with pandas

Hands-on GCP experience with Vertex AI

Basic SQL knowledge

Data visualization tools experience

Education

Bachelor's degree in Computer Science, Data Science, Mathematics or related field

Tools

Apache Airflow

TensorFlow

Google Cloud Platform

Job description

This is a remote position.

Overview

My client is seeking a Junior Machine Learning Engineer to help build their ML infrastructure from the ground up. This is an excellent opportunity for a recent graduate or final-year student to gain hands-on experience with production machine learning workflows on Google Cloud Platform.

Key Responsibilities

• Develop simple predictive models and machine learning algorithms under guidance
• Build basic data pipelines using Apache Airflow or Cloud Composer
• Work with Vertex AI and BigQuery ML for model deployment and monitoring
• Perform data cleaning, preprocessing, and exploratory analysis
• Create data visualizations and document findings
• Assist in feature engineering and model validation processes

Requirements

• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or related field (recent graduate or final year)
• Python programming with pandas, scikit-learn, and basic TensorFlow/PyTorch experience
• Hands-on GCP experience with Vertex AI and BigQuery ML (non-negotiable)
• Basic SQL knowledge and understanding of machine learning fundamentals
• Portfolio demonstrating predictive modeling projects (academic, personal, or internship)

Preferred Qualifications

• Experience with data visualization tools (Tableau, Looker, matplotlib)
• Basic knowledge of Docker and version control (Git)
• Internship or co-op experience in machine learning or data analysis
• Kaggle competitions or similar data science challenges

What They Offer

• Mentorship program with experienced ML engineers and data scientists
• Learning budget for courses and certifications
• Real-world experience contributing to business-impacting models
• Modern tech stack with industry-standard GCP ML tools
• Clear career development path from junior to mid-level ML engineer

Ideal Candidate

Recent graduate (0-2 years experience) with strong academic performance and practical ML experience through projects or internships. You're curious, motivated, and ready to translate theoretical knowledge into practical skills while working collaboratively in a learning-focused environment