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Machine Learning Intern Jobs in Quebec (NOW HIRING)

Exfo

Intern

Quebec, QC · On-site

Stage - Developpeur logiciel (C# / Interfaces graphiques) Equipe de 2 stagiaires Quebec (mode hybride - presentiel et teletravail) Duree : ~4 mois A propos du stage Nous recherchons deux stagiaires ...

ABB

The intern will also analyze different work sectors to improve them individually with the help of ... You'll grow through meaningful work, continuous learning, and support that's tailored to your goals.

EDF power solutions

A propos de nous: Depuis 1987, EDF solutions électriques fournit des solutions d'énergie propre aux États-Unis, au Canada et au Mexique. Nous sommes un producteur d'énergie indépendant et un ...

Inacre conseil inc.

Vous souhaitez jouer un rôle clé dans la mise en place et la promotion d'une culture forte en santé et sécurité au travail? Vous aimeriez accompagner les gestionnaires et les équipes dans ...

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Machine Learning Intern information

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Quebec? The most popular types of Machine Learning jobs in Quebec are:
What are popular job titles related to Machine Learning Intern jobs in Quebec? For Machine Learning Intern jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Quebec look for? The top searched job categories for Machine Learning Intern jobs in Quebec are:
What cities in Quebec are hiring for Machine Learning Intern jobs? Cities in Quebec with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you

Intern, Sagard Private Equity - Summer 2027 / Stagiaire, Sagard Placements Prives Canada ete 2027

Sagard

Montreal, QC

Full-time

Posted 7 days ago

Job description

une version francaise suivra

Sagard Overview:

Sagard is a multi-strategy alternative asset management firm active in venture capital, private equity, private credit and real estate. Sagard also engages in private wealth management through Sagard Wealth.

Founded in 2016 and guided by the core values of entrepreneurship, innovation, collaboration, rigour and authenticity, Sagard has experienced outstanding growth. Today, the firm has more than US$45 billion under management, 190 portfolio companies and 540 professionals.

Sagard is well positioned to continue to grow substantially, organically and inorganically, pursuing its vision of becoming one of the best-performing investment management firms. Headquartered in Canada, Sagard currently has offices in Canada, the United States, Europe and the Middle East.

More at https://www.sagard.com

Position Overview:

Sagard Private Equity Canada is seeking an Intern to join its team in Montreal or Toronto from May to August 2027. The team partners with Canadian mid-market companies to accelerate their growth and support their development into market leaders.

The Intern will be involved in all stages of the investment process, including sourcing and screening opportunities, conducting due diligence, performing financial analysis, and supporting portfolio monitoring activities. This role provides hands-on exposure to a dynamic private equity environment and the opportunity to work closely with experienced professionals on live transactions and strategic initiatives.

Responsibilities:

  • Support the sourcing, screening and evaluation of new investment opportunities

  • Assist in the execution of due diligence for prospective investments

  • Contribute to company valuation and investment structuring analysis

  • Build and maintain financial models to support investment decisions

  • Prepare presentations and investment memos for the Investment Committee

  • Support portfolio management activities, including performance tracking and ad hoc analysis

Qualifications:

  • Currently in the second or third year of a Bachelor of Business Administration or a related program

  • Previous internship experience in private equity, venture capital, investment banking or consulting is considered an asset

  • Strong academic performance

  • Excellent analytical, financial modeling and problem-solving skills

  • Strong written and verbal communication skills

  • High attention to detail and a data-driven mindset

  • Ability to thrive in a fast-paced, collaborative and entrepreneurial environment

  • For all positions in Quebec, proficiency in French and English, both spoken and written, is mandatory. English is required due to regular interaction with colleagues and external partners outside Quebec.

Sagard is an equal opportunity employer, which values diversity in the workplace. We are therefore happy to accommodate any individual.

If you require accommodation in order to participate in the hiring process, please contact the People & Culture team to make your needs known in advance.

Sagard may use automated tools, including artificial intelligence, to support certain stages of the recruitment and selection process.

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Apercu de Sagard :

Sagard est un gestionnaire multi-strategies d'actifs alternatifs mondial present dans les domaines du capital de risque, du private equity, du credit prive et de l'immobilier. Sagard exerce egalement des activites de gestion de patrimoine prive par l'intermediaire de Sagard Patrimoine.

Fondee en 2016 et guidee par des valeurs fondamentales d'entrepreneuriat, d'innovation, de collaboration, de rigueur et d'authenticite, Sagard a connu une croissance remarquable. Aujourd'hui, la firme gere plus de 45 Md $ US d'actifs, compte 190 societes en portefeuille et reunit 540 professionnels.

Sagard est bien positionnee pour poursuivre une croissance substantielle, tant organique qu'inorganique, en poursuivant sa vision de devenir l'une des firmes de gestion d'actifs les plus performantes.

Le siege social est au Canada, et Sagard dispose actuellement de bureaux au Canada, aux Etats-Unis, en Europe et au Moyen-Orient.

Pour plus d'information, visitez le www.sagard.com/fr

Apercu du poste :

Sagard Private Equity Canada est a la recherche d'un stagiaire pour rejoindre son equipe a Montreal ou Toronto de mai a aout 2027. L'equipe accompagne des entreprises canadiennes du marche intermediaire afin d'accelerer leur croissance et de soutenir leur developpement vers une position de leader.

Le stagiaire participera a l'ensemble du processus d'investissement, incluant l'identification et l'analyse des opportunites, la verification diligente, l'analyse financiere ainsi que le suivi des societes en portefeuille. Ce role offre une experience concrete dans un environnement dynamique en capital-investissement et la possibilite de collaborer etroitement avec des professionnels experimentes sur des transactions en cours et des initiatives strategiques.

Responsabilites :

  • Appuyer l'identification, l'analyse et l'evaluation de nouvelles opportunites d'investissement

  • Participer a l'execution des verifications diligentes pour les investissements potentiels

  • Contribuer a l'evaluation des entreprises et a la structuration des investissements

  • Developper et maintenir des modeles financiers pour soutenir les decisions d'investissement

  • Preparer des presentations et des memos d'investissement pour le comite d'investissement

  • Soutenir les activites de gestion de portefeuille, incluant le suivi de la performance et les analyses ponctuelles

Qualifications :

  • Etre en deuxieme ou troisieme annee d'un baccalaureat en administration des affaires ou dans un domaine connexe

  • Une experience de stage en capital-investissement, capital de risque, banque d'investissement ou conseil est un atout

  • Excellents resultats academiques

  • Solides competences analytiques, en modelisation financiere et en resolution de problemes

  • Excellentes competences en communication, a l'ecrit comme a l'oral

  • Grande attention aux details et approche axee sur les donnees

  • Capacite a evoluer dans un environnement dynamique, collaboratif et entrepreneurial

  • Pour tous les postes au Quebec, la maitrise du francais et de l'anglais, tant a l'oral qu'a l'ecrit, est requise. L'anglais est requis en raison d'interactions regulieres avec des collegues et des partenaires externes situes a l'exterieur du Quebec.

Sagard est un employeur souscrivant au principe d'egalite des chances et valorisant la diversite en milieu de travail. Nous sommes heureux de repondre a toute demande d'accommodement dans le cadre du processus de recrutement.

Veuillez contacter l'equipe Talents et Culture pour faire part de vos besoins a l'avance.

Sagard peut utiliser des outils automatises, y compris l'intelligence artificielle, pour soutenir certaines etapes du processus de recrutement et de selection.


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