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Python Language Jobs in Montreal, QC (NOW HIRING)

Build and deploy generative AI solutions leveraging Large Language Models (LLMs) and multimodal AI ... Implement machine learning models using Python libraries such as pandas and scikit-learn, ensuring ...

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Python Java Developer - PJDSJ

Montreal, QC · Hybrid

CA$60 - CA$74/hr

The ideal candidate will leverage Python as the primary development language while contributing to application development, data solutions, and emerging AI initiatives. Responsibilities * Design ...

Python Java Developer - PJDSJ

Laval, QC · Hybrid

CA$60 - CA$74/hr

The ideal candidate will leverage Python as the primary development language while contributing to application development, data solutions, and emerging AI initiatives. Responsibilities * Design ...

The ideal candidate will leverage Python as the primary development language while contributing to application development, data solutions, and emerging AI initiatives. Responsibilities * Design ...

Levio is currently seeking a Python Developer to contribute to a largescale project based in ... Excellent command of the English language, both spoken and written. SOCIAL BENEFITS: Levio offers ...

A career as a Python developer on the demand management team at National Bank means serving as a ... Tools such as the Data Academy, language training, the Harvard Learning Centre and coaching and ...

Tools such as the Data Academy, language training, the Harvard Learning Centre and coaching and ... Python, rest API and Kafka Knowledge of microservices and containerised architectures (Docker ...

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Python Language information

What is the difference between Python Language vs Data Analyst?

AspectPython LanguageData Analyst
Required SkillsProgramming, scripting, data manipulationData interpretation, visualization, basic programming
Work EnvironmentSoftware development, data science teamsBusiness, finance, marketing departments
Common UsageBuilding applications, automating tasks, data analysisInterpreting data, creating reports, supporting decision-making

Python Language is a programming tool used for developing applications and automating data tasks, while Data Analysts focus on interpreting data and creating insights. Python skills are often essential for Data Analysts, but their roles differ in scope and focus.

Is Python a good career?

Python developers are in high demand across industries such as data science, web development, and automation. The role typically requires strong programming skills, problem-solving ability, and familiarity with frameworks like Django or libraries like Pandas. It offers opportunities for growth, certification, and remote work, making it a solid career choice for many tech professionals.

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

To thrive as a Python Developer, you need strong programming skills in Python, a solid understanding of algorithms and data structures, and often a degree in computer science or related field. Familiarity with frameworks like Django or Flask, experience using Git, and knowledge of database systems are commonly required, with certifications like PCEP or PCAP being advantageous. Problem-solving abilities, attention to detail, and effective teamwork are crucial soft skills that set candidates apart. These competencies are essential for building reliable, scalable software and collaborating efficiently in dynamic development environments.

What are Python developers?

Python developers are professionals who specialize in using the Python programming language to build software applications, automate tasks, analyze data, or develop websites. They write, test, and debug code, often working on backend systems, data processing, artificial intelligence, or web development projects. Python developers collaborate with other team members such as designers, analysts, and project managers to deliver effective technology solutions. Their expertise in Python allows them to work across various industries, including finance, healthcare, technology, and education.

Will AI replace Python coders?

AI tools can automate certain programming tasks, but Python coders are essential for designing, developing, and maintaining complex software systems. Skills in problem-solving, debugging, and understanding AI integration remain valuable for Python developers in the evolving tech landscape.

What are some common challenges Python Developers face when working on large-scale projects?

Python Developers working on large-scale projects often encounter challenges related to code maintainability, performance optimization, and effective collaboration. As projects grow, ensuring code readability and modularity becomes essential, requiring the use of best practices such as writing clear documentation and adhering to consistent coding standards. Additionally, Python's interpreted nature can lead to performance bottlenecks, so developers frequently need to profile and optimize critical sections of code. Collaborating with cross-functional teams, such as front-end developers or DevOps engineers, is also common, highlighting the importance of strong communication and version control skills.

Are Python still in demand in 2026?

Python remains a highly in-demand programming language for developers in 2026, especially in fields like data science, machine learning, web development, and automation. Its versatility, extensive libraries, and strong community support continue to drive job opportunities for Python programmers across various industries.

Which pays more, C++ or Python?

For Python developers, salaries are generally comparable to those of C++ developers, with pay depending on experience, location, and industry. C++ roles often require specialized skills in systems or embedded programming, which can command higher wages, while Python roles are common in data science, web development, and automation. Overall, both languages offer competitive salaries, but C++ positions may pay more in certain high-performance or specialized fields.
What job categories do people searching Python Language jobs in Montreal, QC look for? The top searched job categories for Python Language jobs in Montreal, QC are:
Infographic showing various Python Language job openings in Montreal, QC as of June 2026, with employment types broken down into 94% Full Time, and 6% Temporary. Highlights an 28% In-person, 17% Hybrid, and 55% Remote job distribution.

Other

Posted 2 days ago


Job description

We are looking for a skilled and driven Python Developer to join our team. In this role, you will design and build production-grade AI/ML services, data pipelines, and generative AI solutions that address real business challenges. You will work closely with cross-functional teams to deliver high-quality, scalable software in a fast-paced, Agile environment.


Location

Montreal, Canada (hybrid)


Key Responsibilities

  • Design, develop, and maintain scalable Python-based applications, data processing pipelines, and AI/ML services for production environments.
  • Build and deploy generative AI solutions leveraging Large Language Models (LLMs) and multimodal AI technologies to address business challenges.
  • Develop and optimize anomaly detection systems using techniques such as Isolation Forest, clustering algorithms, time-series analysis, and pattern mining.
  • Create and maintain RESTful APIs and AI service endpoints using FastAPI, supporting asynchronous and high-performance processing workflows.
  • Implement machine learning models using Python libraries such as pandas and scikit-learn, ensuring accuracy, scalability, and maintainability.
  • Collaborate with cross-functional teams to gather requirements, design technical solutions, and deliver AI-driven products and enhancements.
  • Develop and maintain database integrations, write complex SQL queries, and create stored procedures to support data-driven applications.
  • Apply object-oriented programming (OOP) principles and software engineering best practices to build robust and reusable code.
  • Write, execute, and maintain automated unit tests using pytest to ensure code quality and reliability.
  • Monitor, troubleshoot, and optimize AI/ML models and services, including performance analysis, debugging, logging, and issue resolution.
  • Manage source code using Git and participate in code reviews to maintain development standards and foster knowledge sharing.
  • Support deployment, containerization, and operationalization of AI/ML solutions in enterprise environments.
  • Contribute to Agile development teams through sprint planning, estimation, and continuous improvement initiatives.
  • Stay current with emerging AI, machine learning, and software development technologies to drive innovation and best practices.


Required Qualifications

  • 5–7 years of hands-on Python development experience.
  • 2–3 years of experience delivering AI/ML projects in production environments.
  • Strong proficiency in Python with demonstrated experience building production-grade data processing pipelines and AI/ML services.
  • Expertise in pandas and solid familiarity with scikit-learn for data manipulation and machine learning model implementation.
  • Proven experience with anomaly detection algorithms and techniques, including Isolation Forest, clustering, time-series analysis, and pattern mining.
  • Demonstrated ability to design and deploy generative AI solutions using LLMs and multimodal models to solve business problems.
  • Solid understanding of object-oriented programming (OOP) principles and software design patterns.
  • Expertise in the FastAPI framework for building AI service endpoints and asynchronous, high-performance processing systems.
  • Good knowledge of database concepts, SQL query writing, and stored procedure development.
  • Working knowledge of Unix/Linux environments.
  • Experience with Git or similar version control systems.
  • Experience writing and maintaining unit tests using pytest or equivalent frameworks.
  • Self-starter with the ability to thrive in a fast-paced environment and manage multiple concurrent projects.
  • English language required


Nice to Have

  • Experience working within Agile squads and participating in Scrum ceremonies.
  • Domain knowledge in financial data and related business contexts.
  • Understanding of model performance monitoring, debugging, and logging systems within AI applications.
  • Experience with containerization (e.g., Docker) and deployment of ML services in enterprise environments.


Why choose us

  • An international community bringing together more than 110 different nationalities
  • An environment where trust is central: 70% of our leaders started their careers at the entry level
  • A strong training system with our internal Academy and more than 250 modules available
  • A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)


Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.