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New Grad Machine Learning Jobs in Quebec (NOW HIRING)

Designing and building end-to-end machine learning and statistical models that solve high-stakes ... Contributing to new business proposals - helping articulate Artefact's technical capabilities and ...

As part of our strategic investment in AI, Jesta is building a new generation of intelligent enterprise applications that combine predictive analytics, machine learning, generative AI, agentic AI ...

As part of our strategic investment in AI, Jesta is building a new generation of intelligent enterprise applications that combine predictive analytics, machine learning, generative AI, agentic AI ...

Whether you're pioneering new digital solutions, challenging conventional thinking or building the ... Apply machine learning and AI methods to support classification, scoring, summarization, pattern ...

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Design, develop, and implement advanced predictive models and machine learning algorithms ... Identify and evaluate new data sources to enhance the value and scope of data-driven insights.

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New Grad Machine Learning information

What are some typical challenges new graduates might face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

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

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are 'New Grad Machine Learning' roles?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
What are popular job titles related to New Grad Machine Learning jobs in Quebec? For New Grad Machine Learning jobs in Quebec, the most frequently searched job titles are:
What cities in Quebec are hiring for New Grad Machine Learning jobs? Cities in Quebec with the most New Grad Machine Learning job openings:

Senior Full‑Stack Software Engineer - Data‑Driven Applications

Nexasphere

Montreal, QC • On-site

Full-time

Posted 25 days ago


Job description

Position Overview:

The Data Products and Services team uses some of the most cutting-edge technologies and cloud offerings to design, build and maintain machine learning frameworks, data science tools, microservices, web applications and other data driven products. We actively seek to work with the latest technologies to improve our tech stack, knowledge, and existing processes. We collaborate closely with investment teams to deliver on business goals and priorities.

  • Work with stakeholders across the business to understand the challenges faced, gather requirements, and collect documentation
  • Build and maintain scalable, production grade backend applications using Python as well as frontend web applications using React
  • Take ownership of the products you and your team work on to ensure continued support and improvements

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related subject
  • 4+ years of professional software engineering experience
  • Proficiency in Python and web development
  • Experience with relational databases and document stores
  • Proven track record of owning or working on end-to-end full-stack applications
  • Excellent communication skills
  • Willingness to pick up and learn new technologies and frameworks
  • Typical Microservices:
  • Cloud: AWS, Azure, GCP
  • DevOps CI/CD practices

Nice to have:

  • Rust experience
  • Experience with highly available distributed systems
  • Experience with Javascript/React JS Frontend
  • Experience working with large datasets

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FRANÇAIS

Aperçu du poste
L'équipe Data Products and Services utilise certaines des technologies et solutions infonuagiques les plus avancées pour concevoir, développer et maintenir des cadres de machine learning, des outils de science des données, des microservices, des applications web et d'autres produits axés sur les données. Nous cherchons activement à travailler avec les technologies les plus récentes afin d'améliorer notre pile technologique, nos connaissances et nos processus existants. Nous collaborons étroitement avec les équipes d'investissement pour soutenir les objectifs et priorités d'affaires.

Responsabilités

  • Travailler avec les parties prenantes à travers l'entreprise pour comprendre les défis, recueillir les besoins et compiler la documentation.
  • Concevoir et maintenir des applications backend évolutives et de qualité production en Python, ainsi que des applications web frontend en React.
  • Assumer pleinement la responsabilité des produits développés par vous et votre équipe afin d'en assurer le soutien continu et les améliorations.

Qualifications requises

  • Baccalauréat en informatique, en génie ou dans un domaine connexe.
  • 4+ années d'expérience professionnelle en génie logiciel.
  • Maîtrise de Python et du développement web.
  • Expérience avec les bases de données relationnelles et les document stores.
  • Expérience démontrée dans la conception ou la contribution à des applications full‑stack de bout en bout.
  • Excellentes compétences en communication.
  • Volonté d'apprendre et d'adopter de nouvelles technologies et cadres de développement.

Microservices typiques

  • Cloud : AWS, Azure, GCP
  • Pratiques DevOps CI/CD

Atouts

  • Expérience en Rust
  • Expérience avec des systèmes distribués hautement disponibles
  • Expérience en développement frontend Javascript/React
  • Expérience avec de grands ensembles de données