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Python Language Jobs in Montreal, QC (NOW HIRING)

Fed IT

Data Analyst

Montreal, QC · Hybrid

All our consultants are IT experts who speak your language and work in your environment. We cover ... Expertise in Python data stack (e.g., Pandas/Polars, NumPy, Matplotlib). Advanced proficiency in ...

Fed IT

Data Analyst

Montreal, QC · Hybrid

All our consultants are IT experts who speak your language and work in your environment. We cover ... Expertise in Python data stack (e.g., Pandas/Polars, NumPy, Matplotlib). Advanced proficiency in ...

New

Fed IT

Data Analyst

Montreal, QC · Hybrid

All our consultants are IT experts who speak your language and work in your environment. We cover ... Expertise in Python data stack (e.g., Pandas/Polars, NumPy, Matplotlib). Advanced proficiency in ...

Fed IT

Data Analyst

Montreal, QC · On-site

All our consultants are IT experts who speak your language and work in your environment. We cover ... Expertise in Python data stack (e.g., Pandas/Polars, NumPy, Matplotlib). Advanced proficiency in ...

Apertera

Senior Software Engineer

Montreal, QC · On-site

About Apertera Apertera is leading the evolution of language solutions for high-stakes content. We ... Design, develop, and maintain backend services and well-structured RESTful APIs using Python ...

Td

Sr. Full Stack Data Science Engineer

Montreal, QC

CA$154K - CA$199K/yr

SQL, PySpark, Python * AI & ML : Predictive Analytics, Natural Language Processing (NLP), Supervised and Unsupervised Learning, leveraging Generative AI tools and APIs, Model Development and ...

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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.

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.

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.
What are popular job titles related to Python Language jobs in Montreal, QC? For Python Language jobs in Montreal, QC, the most frequently searched job titles are:
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:
Python Language jobs near you

ML Research Scientist (probabilistic inference)

LawZero

Montreal, QC

Other

Medical, Retirement, PTO

Re-posted 4 days ago

Job description

We are seeking a Machine Learning (ML) Research Scientist to join our team working on a novel AI safety research agenda. In this role, you will develop and evaluate probabilistic inference methods, with a focus on amortized inference, translating theoretical insights into practical implementations.

Key responsibilities

  • Develop amortized inference methods suitable for high-dimensional discrete and continuous distributions.
  • Develop parameter- and structure-learning methods for large probabilistic graphical models that benefit from amortized probabilistic inference.
  • Design evaluation strategies for methods that rely on probabilistic inference.
  • Collaborate with mathematicians on theory related to learning and inference in probabilistic models.
  • Translate theoretical proposals into high quality implementations in a programming language such as Python.
  • Analyze and interpret experimental results to steer future research directions.
  • Communicate complex findings effectively to various stakeholders.

Skills and qualifications

  • Advanced degree in a relevant field (e.g., Computer Science, Mathematics). A PhD is preferred but not required if the candidate demonstrates exceptional abilities.
  • A minimum of 3 years of experience in deep learning research.
  • Expertise in probabilistic inference is required, in addition to expertise in one or more of the following:
    • Bayesian inference
    • Sampling-based approximate inference methods
    • Amortized inference methods (including variational inference methods or Generative Flow Networks)
    • Parameter- and/or structure-learning in probabilistic graphical models (including causal models)
    • Reinforcement learning
    • Optimal control
  • Strong background in mathematics.
  • Proven experience in developing and implementing machine learning models.
  • Proficiency in programming languages such as Python, and experience with  ML frameworks like PyTorch or TensorFlow.
  • Excellent analytical and problem-solving skills, with a demonstrated ability to think critically about complex systems.
  • Strong communication skills, both written and verbal, with the ability to explain complex ideas to diverse audiences.
  • Track record of contributing to high-quality research in probabilistic inference or related fields.
  • Ability to work collaboratively in a team environment while also being self-motivated and independent.

What we offer

  • The opportunity to contribute to a unique mission with a major impact.
  • Comprehensive health benefits.
  • A minimum of 20 days vacation per year upon start.
  • A minimum retirement savings employer contribution of 4%.
  • Generous flexible benefits designed to contribute to your well-being.
  • A team of passionate experts in their field.
  • A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.

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