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Python Developer Contract Jobs in Quebec (NOW HIRING)

Xsolla

Lead AI/ML Engineer

Montreal, QC

CA$130K - CA$160K/yr

Strong SQL and Python skills, with proven experience building ETL/ELT at scale. * Deep ... Familiarity with data contracts and feature stores (Feast, Tecton, or custom-built). * Experience ...

Worthland

AWS Security Specialist

Montreal, QC · Remote

... proficiency Contract: Permanent, full-time Ideal background: Operations/DevOps engineer ... Proficient in at least one of Python, Go, or Bash for writing automation scripts Experience & Soft ...

Worthland

AWS Security Specialist

Montreal, QC · Remote

... proficiency Contract: Permanent, full-time Ideal background: Operations/DevOps engineer ... Proficient in at least one of Python, Go, or Bash for writing automation scripts Experience & Soft ...

Jay Analytix

QA Lead - Capital Markets

Montreal, QC · On-site

Contract Experience Required: 7+ Years Domain: Capital Markets Work Authorization: Candidates must ... Proficiency in programming languages like Java, Python and well versed with framework ...

Giesecke+Devrient

Senior Data Scientist

Montreal, QC

Work closely with engineering teams to productionize models and analytical pipelines * Ensure ... Hands-on experience with Python, pandas, NumPy, scikit-learn, and SQL * Experience with one or more ...

TMC Canada

Product Support Specialist

Montreal, QC · On-site

Experienced (mid-level to senior level) who can efficiently manage Python scripting and ideally ... Knowledge of SDLC and DevOps as a plus * Knowledge of AI as a plus ( Anthropic Claude and OpenAI ...

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How much do python developer contract jobs pay per hour?

As of May 30, 2026, the average hourly pay for python developer contract in Quebec is $58.55, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $68.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Developer Contract, and why are they important?

To thrive as a Python Developer on contract, you need strong skills in Python programming, software development best practices, and often a relevant degree or proven project experience. Familiarity with version control systems like Git, frameworks such as Django or Flask, and knowledge of cloud platforms or CI/CD tools are typically required. Effective communication, time management, and adaptability are crucial for collaborating remotely and meeting project deadlines. These skills ensure high-quality, efficient code delivery and seamless integration with project teams in dynamic contract environments.

What are some common challenges faced by Python developers working on contract, and how can they be addressed?

Python developers working on contract often encounter challenges such as integrating with existing codebases, rapidly understanding project requirements, and adapting to varying team workflows. To address these, contractors should prioritize clear communication with project stakeholders, actively seek documentation, and utilize version control systems like Git. Being proactive in asking questions and participating in team meetings can help contractors quickly align with project goals and deliverables, ensuring smooth collaboration and successful project outcomes.

What is a Python Developer Contract?

A Python Developer Contract is a temporary work agreement where a developer is hired specifically to work on projects or tasks that require expertise in the Python programming language. Contract roles typically have a set duration and may be project-based, allowing businesses to scale their development teams flexibly. Contractors are usually responsible for writing code, debugging, and deploying Python applications, and may work independently or as part of a larger team. This arrangement benefits both employers seeking specialized skills for a limited time and developers looking for varied project experiences.

What is the difference between Python Developer Contract vs Python Developer Full-Time?

AspectPython Developer ContractPython Developer Full-Time
CredentialsTypically requires proficiency in Python, relevant certifications optionalSame as contract, often with additional experience or certifications preferred
Work EnvironmentProject-based, flexible hours, remote or onsitePermanent employment, regular hours, often onsite or hybrid
Employer & Industry UsageUsed across startups, agencies, and tech firms for specific projectsCommon in established companies, tech firms, and enterprises
Search & Comparison IntentOften searched for project-based roles, freelance opportunitiesTypically searched for stable, long-term employment

In summary, Python Developer Contract roles focus on short-term, project-specific work with flexible arrangements, while Python Developer Full-Time positions offer stability, benefits, and long-term employment within organizations.

What are the most commonly searched types of Python Developer jobs in Quebec? The most popular types of Python Developer jobs in Quebec are:
What are popular job titles related to Python Developer Contract jobs in Quebec? For Python Developer Contract jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Python Developer Contract jobs in Quebec look for? The top searched job categories for Python Developer Contract jobs in Quebec are:
What cities in Quebec are hiring for Python Developer Contract jobs? Cities in Quebec with the most Python Developer Contract job openings:
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Lead AI/ML Engineer

Lead AI/ML Engineer

Xsolla

Montreal, QC

CA$130K - CA$160K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 6 days ago

Job description

ABOUT YOU
 
We're seeking a Lead AI/ML Engineer to architect and scale our data infrastructure supporting personalization, churn prediction, and recommendation systems across Xsolla's global gaming commerce platform. You'll lead the design and optimization of ML algorithms in Vertex AI, build scalable data pipelines integrating multiple sources, and establish best practices for data quality, governance, and performance. This role combines hands-on technical leadership with cross-functional collaboration, mentoring engineers, partnering with data science and backend teams to productionize ML features, and working directly with the Director of Data Platforms to translate business needs into technical solutions. You'll be instrumental in shaping our data mesh architecture while ensuring compliance, scalability, and operational excellence as we serve game developers worldwide.
 
ABOUT US
 
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
  • Design, build, and optimize algorithms in Vertex AI
  • Develop scalable data models and algorithms supporting user 360 views, churn prediction, and recommendation engine inputs
  • Lead integration across data sources: MySQL, BigQuery, Redis, Kafka, GCP Storage, and API Gateway
  • Implement CI/CD for data pipelines using Git, dbt, and automated testing
  • Define data quality checks and auditing pipelines for ingestion and transformation layers
  • Mentor and guide junior AI/ML engineers on data modeling and algorithm performance tuning
  • Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake
  • Work closely with Legal, Security, and Infrastructure teams to ensure compliance, privacy, and governance of user data (PII)
  • Collaborate with the Director of Data Platforms and product stakeholders to translate business requirements into technical specifications
  • Tune algorithm performance
  • Establish data partitioning, clustering, and materialized views for fast query execution
  • Build dashboards and monitors for pipeline health, job success, and data latency metrics (e.g., via Looker, Tableau, or Snowsight)
  • Establish and enforce naming conventions, data lineage, and metadata standards across schemas
  • Lead code reviews, enforce documentation standards, and manage schema versioning
  • Contribute to the company's evolving data mesh and streaming architecture vision
Qualification & Skills:
  • 5+ years of experience in AI/ML engineering, with 3+ years in Vertex.ai.
  • Strong SQL and Python skills, with proven experience building ETL/ELT at scale.
  • Deep understanding of algorithm performance tuning, query optimization, and warehouse orchestration.
  • Experience with data pipeline orchestration (Airflow, Prefect, dbt, or similar).
  • Solid understanding of data modeling (Kimball, Data Vault, or hybrid).
  • Proficiency in Kafka, GCP, or AWS for real-time or batch ingestion.
  • Familiarity with API-based data integration and microservice architectures.
Nice to Have:
  • Experience lead machine learning teams or/and deploying ML feature pipelines.
  • Background in ad-tech, gaming, or e-commerce recommendation systems.
  • Familiarity with data contracts and feature stores (Feast, Tecton, or custom-built).
  • Experience managing small data engineering teams and setting technical direction
  • Strong ownership and ability to work autonomously in a fast-paced environment.
  • Excellent cross-functional communication - can translate between engineering and business.
  • Hands-on problem solver who balances velocity with reliability.
  • Collaborative mentor who raises the bar for team quality and discipline
$130,000 - $160,000 a year
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 medical, dental, and vision, PTO, 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. 
 
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 Lead AI/ML 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
 
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 [email protected].
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 [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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