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 prospect 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

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📌 Machine Learning Engineer (Montreal)
🏢 Altis Technology
📍 Montreal