At a Glance
- Tasks: Design and develop cutting-edge machine learning solutions that drive real business impact.
- Company: Join a leading organization at the forefront of technology and innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for continuous learning.
- Other info: Work with modern ML frameworks and be part of exciting enterprise-scale initiatives.
- Why this job: Make a difference by transforming data into scalable solutions in a collaborative environment.
- Qualifications: 5+ years in machine learning with strong Python and cloud platform skills.
The predicted salary is between 123750 - 151250 $ per year.
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
Machine Learning Engineer in Montréal employer: Altis Technology
At Altis Technology, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As an SAP Deployment Lead, you will benefit from comprehensive professional development opportunities and a supportive environment that values teamwork and continuous improvement. Located in a dynamic industrial setting, our company offers unique advantages such as hands-on experience with cutting-edge technology and the chance to make a significant impact on supply chain operations.
