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Machine Learning Developer Intern Jobs in Quebec

Capco

Machine Learning Engineer

Montreal, QC · On-site

Design, build, and optimize machine learning models that power data-driven decisions The Role We are seeking a Machine Learning Engineer to join a collaborative team delivering advanced analytics and ...

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Machine Learning Developer Intern information

How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a Machine Learning Developer Intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

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

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

Machine Learning Developer Intern jobs near you
Machine Learning Engineer (Canada)

Machine Learning Engineer (Canada)

Two95 International Inc.

Montreal, QC • Remote

Contractor

Posted 28 days ago

Job description

Title : Machine Learning Engineer
Type : Contract to Hire
Location : 100% Remote (Canada)
Rate: $Open / Market

Requirements

BSc/MSc in computer science, mathematics or related technical discipline

1-4 years' experience in software engineering with exposure to statistical and/or data science role (5-10 years for Senior ML Engineer)

Deep knowledge and proven experience with optimizing machine learning model in a production context

Experience with Python or Scala is required. Background in programming in C, C++, Java is beneficial. Exposure to both streaming and non-streaming analytics Experience with SQL, Spark, Pandas, Numpy, SciPy, Statsmodels, Stan, pymc3, Caret, Scikit-learn, Keras, TensorFlow, Pytorch, Databricks is beneficial.

Experience working with large data sets, simulation/optimisation and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)

Refactor prototypes of predictive models into highly performant, production ready solutions

Work closely with Data Engineers and Data Scientists to create analytical variables, metrics, and models

Work closely with data scientists to solve difficult engineering and machine learning problems and produce high-quality code

Choose and use the right analytical libraries, programming languages, and frameworks for each task

Contribute to building client capabilitiesby coaching team members on data science methodologies and approaches

Contribute to best coding and engineering practice across AI projects

Build/refactor/develop code into reusable libraries, APIs, and tools

Able to build a sense of trust and rapport that creates a comfortable & effective workplace; collaborative

Attitude to thrive in a fun, fast-paced, startup-like environment

Open minded to new approaches and learning

Benefits

Note: If interested please send your updated resume to ajith.anthoniraj@two95intl.com and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.
We look forward hearing from you at the earliest!

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About TWO95 International

Sourced by ZipRecruiter

At TWO95 International, we believe it is imperative that a hiring company is assured of procuring the right candidate to fill a job requirement. We have an extensive local and International network, and a fully digitalized sourcing approach that allows us to find a candidate best suited for the job. Furthermore, we strive to secure well matched opportunities that align with the personal and career aspirations of our candidates.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Cherry Hill, NJ, US

Year founded

2009

Social media

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