Machine Learning Engineer

Altis Technology; Montreal (administrative region); Hybrid; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Exposure to complex, enterprise-scale machine learning initiatives

Opportunities with modern ML frameworks and cloud technologies

Collaborative environment that values innovation

Flexibility through a hybrid work model

Job summary

Altis Technology is seeking an experienced Machine Learning Developer in Montreal, QC. The role focuses on designing and deploying machine learning solutions for complex business challenges in a collaborative environment.

With a hybrid work model, you will work with modern ML frameworks and cloud technologies while directly supporting business decision-making through innovative solutions.

Qualifications

• 5+ years of experience designing and implementing end-to-end machine learning solutions in production environments.
• Strong expertise in Python, Git, and machine learning libraries such as PyTorch, TensorFlow, or Hugging Face.
• Proven experience with model development, training, validation, optimization, and evaluation methodologies.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Strong knowledge of MLOps practices including Docker, CI/CD, deployment, monitoring, and automated retraining.

Responsibilities

• Design, develop, deploy, and maintain end-to-end machine learning solutions.
• Build, train, evaluate, and optimize machine learning models.
• Develop scalable data pipelines and feature engineering processes.
• Implement MLOps practices including CI/CD pipelines, containerization, and monitoring.
• Identify and mitigate risks related to model drift and data quality.

Skills

Machine Learning Solutions Design

Python

Git

MLOps practices

Model Optimization

AWS

TensorFlow

PyTorch

Data Pipeline Development

Communication Skills

Tools

Hugging Face

Docker

CI/CD

Snowflake

Job description

Montreal, QC (Hybrid, 2–3 days onsite per week)

Language

English, advanced written and verbal communication required. French is considered an asset.

Duration

12-Month Contract

About the Opportunity

We are seeking an experienced Machine Learning Developer to join a leading organization focused on leveraging advanced technology and data-driven insights to solve complex business challenges. This opportunity is ideal for someone who enjoys building intelligent systems from the ground up and delivering machine learning solutions that create measurable impact across a large-scale digital ecosystem.

Working alongside data engineers, software developers, product leaders, and business stakeholders, you will transform real-world data into scalable production‑ready solutions. This role combines machine learning, MLOps, and software engineering, offering the opportunity to influence both technical direction and business outcomes.

What’s In It for You

• Exposure to complex, enterprise‑scale machine learning initiatives
• Opportunities to work with modern ML frameworks, cloud technologies, and emerging AI solutions
• A collaborative environment that values innovation, continuous learning, and knowledge sharing
• Meaningful work that directly supports business‑critical decision making
• Flexibility through a hybrid work model and a team‑oriented culture

Your Responsibilities

• You’ll design, develop, deploy, and maintain end-to-end machine learning solutions from data ingestion through production monitoring
• You’ll build, train, evaluate, and optimize machine learning models using modern frameworks and best practices
• You’ll develop scalable data pipelines and feature engineering processes to support reliable model performance
• You’ll implement MLOps practices including CI/CD pipelines, containerization, deployment automation, and monitoring
• You’ll identify and mitigate risks related to model drift, data quality, overfitting, and data leakage
• You’ll collaborate with cross‑functional teams to translate business requirements into practical ML solutions

Skills and Qualifications

• 5+ years of experience designing and implementing end-to-end machine learning solutions in production environments
• Strong expertise in Python, Git, and machine learning libraries such as PyTorch, TensorFlow, or Hugging Face
• Proven experience with model development, training, validation, optimization, and evaluation methodologies
• Hands‑on experience with cloud platforms such as AWS, Azure, or GCP
• Strong knowledge of MLOps practices including Docker, CI/CD, deployment, monitoring, and automated retraining
• Experience working with Snowflake or similar cloud‑based data platforms and complex real‑world datasets
• Excellent communication, problem‑solving, and stakeholder collaboration skills