Machine Learning Engineer

Gamigion; Montreal; On-site; CAD 100,000 - 140,000; Full time

Job summary

A leading gaming company is seeking a Machine Learning Engineer to join their innovative AI and Data Science team in Montreal. The role involves developing and optimizing machine learning models, mentoring junior engineers, and aligning projects with business objectives. Candidates should possess strong ML engineering skills and experience with cloud technologies, eager to drive innovation in gaming.

Benefits

100% company-paid medical, dental, and vision plans

Unlimited Flexible Time Off

Personalized career roadmap

Professional development through training

Qualifications

• Strong ML frameworks experience (TensorFlow, PyTorch, etc.).
• Experience with cloud platforms and deploying ML models.
• Knowledge of MLOps practices and CI/CD pipelines.

Responsibilities

• Leads multiple Machine Learning projects aligning with business goals.
• Oversees ML model development, deployment, and maintenance.
• Mentors junior ML engineers and collaborates with cross-functional teams.

Skills

Machine Learning engineering skills

Cloud deployment experience

MLOps proficiency

Mentoring junior engineers

Collaboration

Tools

TensorFlow

PyTorch

Scikit-learn

XGBoost

AWS

GCP

Azure

Docker

Kubernetes

Job description

About Us

At Xsolla, we believe that great games begin as ideas, driven by the curiosity, dedication, and grit of creators around the world. Our mission is to empower these visionaries by providing the support and resources they need to bring their games to life. We are committed to leveling the playing field, ensuring that every creator has the opportunity to share their passion with the world.

About Us

At Xsolla, we believe that great games begin as ideas, driven by the curiosity, dedication, and grit of creators around the world. Our mission is to empower these visionaries by providing the support and resources they need to bring their games to life. We are committed to leveling the playing field, ensuring that every creator has the opportunity to share their passion with the world.

Headquartered in Los Angeles, with offices in Berlin, Seoul, and beyond, we partner with industry leaders like Valve, Twitch, and Ubisoft to clear the paths for innovation in gaming. Our global reach spans over 200 geographies, offering more than 700 payment methods in 130+ currencies.

Longevity Opportunity Vision Enjoy the game!

About You

We are looking for a Machine Learning Engineer who is technically expert, highly collaborative, and innovation-driven to join our AI and Data Science team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to build, deploy, and optimize machine learning models that deliver real-world impact at scale.

Strong ML engineering skills, cloud deployment experience, and MLOps proficiency are essential, along with experience in managing model workflows from development to production. The ability to mentor junior engineers, collaborate with cross-functional teams, and lead complex projects to successful delivery will be key to your success in this role.

If you’re passionate about developing scalable, cutting-edge machine learning systems and love building high-performance models that drive innovation, we would love to hear from you!

Responsibilities

Leads and supports multiple Machine Learning projects, ensuring alignment with business objectives and data needs.

• Oversees the Kanban process for managing ML model development, deployment, and maintenance.
• Engages in technical discussions both within the company and with external data partners, fostering collaboration and knowledge sharing.
• Drives the design and architecture of machine learning solutions by deeply understanding data usage and identifying opportunities to integrate new data sources.
• Implements emerging technologies and methodologies in machine learning, ensuring state-of-the-art solutions and continuous innovation.
• Mentors and guides junior ML engineers, promoting best practices, scalability, and efficiency in model development.
• Collaborates closely with data engineers and scientists to enhance ML workflows, ensuring models are reliable and production-ready.
  
  

Qualifications & Skills

Strong proficiency in ML frameworks/libraries such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.

• Experience with cloud platforms (AWS, GCP, Azure), and deploying ML models using SageMaker, Vertex AI, or Azure ML.
• Familiarity with MLOps practices, including model versioning, CI/CD pipelines (e.g., MLflow, Kubeflow, Airflow), and production monitoring.
• Expertise in data preprocessing and feature engineering using tools such as Pandas, NumPy, and Apache Spark.
• Strong programming skills in Python (preferred) or Scala.
• Experience with containerization tools like Docker and Kubernetes.
• Understanding of distributed computing and parallel processing frameworks (e.g., Ray, Dask) for scalable ML workloads.
• Experience deploying ML models to production with a focus on inference latency, scalability, and robustness.
• Experience in data pipelines and analytics for video-game development (Preferred).
• Experience in the advertising industry (Preferred).
• Experience in online businesses where transactions happen without human intervention (Preferred).
  
  

$100,000 - $140,000 a year

Equal Employment Opportunity Statement

Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.

We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Criminal History Consideration

For the Machine Learning Engineer, we will conduct a background check that may include the following:

Criminal history check

Employment verification

Education verification

Relevance To Job Responsibilities

The background check is relevant to this position because of the following role responsibilities:

Accessing confidential company data

Ensuring compliance with regulatory requirements

Handling sensitive financial information/managing budgets/accessing funds

Rights Under The Fair Chance Act

Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [e-mail] .

Benefits

We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants . Please direct any inquiries regarding your data privacy to [e-mail].

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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