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Entry Level Deep Learning Jobs in Toronto, ON (NOW HIRING)

Third Octet

IT Support Analyst

Mississauga, ON · On-site +1

... entry-level certification preferred, but not a must. * Basic understanding of local and wide area ... Focus windows to permit deep and uninterrupted work. * Broad exposure to technology solutions ...

All JobsDeep Learning JobsEntry Level Deep Learning JobsEntry Level Deep Learning Jobs in Toronto, ON

Entry Level Deep Learning information

See Toronto, ON salary details

$19.6K

$85.1K

$187.5K

How much do entry level deep learning jobs pay per year?

As of Aug 5, 2026, the average yearly pay for entry level deep learning in Toronto, ON is $85,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,264.00 and $141,719.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Deep Learning vs Entry Level Machine Learning?

AspectEntry Level Deep LearningEntry Level Machine Learning
Required CredentialsBachelor's in CS, Data Science, or related; familiarity with neural networksBachelor's in CS, Data Science, or related; basic understanding of algorithms
Work EnvironmentResearch labs, tech companies, AI startupsTech firms, finance, healthcare, and various industries
Employer & Industry UsageAI-focused roles, research institutionsBroader industry applications, including analytics and automation
Common Search & ComparisonOften compared for specialization in neural networks and deep architecturesMore general, covers broader ML techniques

Entry Level Deep Learning focuses on neural networks and complex models, often requiring knowledge of frameworks like TensorFlow or PyTorch. Entry Level Machine Learning covers a wider range of algorithms and techniques. Both roles share foundational skills but differ in specialization and application scope.

What are entry level deep learning jobs?

Entry level deep learning jobs are positions designed for individuals who are new to the field of artificial intelligence and machine learning, typically recent graduates or those with limited professional experience. These roles often involve assisting in building, training, and testing neural network models, as well as preprocessing data and supporting senior data scientists or machine learning engineers. Entry level positions may also include tasks such as researching recent advancements, implementing standard algorithms, and contributing to team projects under supervision. A strong foundation in Python, deep learning frameworks like TensorFlow or PyTorch, and an understanding of basic machine learning concepts are usually required.

What are some common challenges faced by entry level deep learning professionals, and how can they be addressed?

Entry-level deep learning professionals often encounter challenges such as understanding complex architectures, managing large datasets, and optimizing model performance. Navigating unfamiliar frameworks and debugging code can also be daunting at first. These challenges can be addressed by seeking mentorship from experienced colleagues, participating in code reviews, and dedicating time to hands-on projects. Additionally, staying updated with the latest research and utilizing online communities or forums can provide valuable support and resources.

What are the key skills and qualifications needed to thrive as an entry level deep learning professional?

To thrive as an Entry Level Deep Learning professional, you need a solid understanding of machine learning fundamentals, mathematics (especially linear algebra and calculus), and proficiency in programming languages such as Python. Experience with frameworks like TensorFlow or PyTorch and familiarity with version control systems like Git are typically required. Strong problem-solving abilities, eagerness to learn, and the ability to work collaboratively set candidates apart in this field. These skills and qualities are essential for building, troubleshooting, and improving deep learning models in a rapidly evolving technical landscape.
What are popular job titles related to Entry Level Deep Learning jobs in Toronto, ON? For Entry Level Deep Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Entry Level Deep Learning jobs in Toronto, ON look for? The top searched job categories for Entry Level Deep Learning jobs in Toronto, ON are:
Entry Level Deep Learning jobs near you

IT Support Analyst

Third Octet

Mississauga, ON • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 19 days ago

Job description

Role Summary

At Third Octet, the Service Desk Analyst represents the technical front line between us and our customers. Your focus will be on our Managed Services offering, including monitoring, continuity, and cloud service management. Using your problem-solving skills and ability to connect with people, you will help users overcome obstacles to getting work done.


While we have an office in Port Credit, Mississauga, we are a remote-first company and have employees across the GTA and other provinces. This role can be remote but needs to be able to visit local businesses in the GTA.

What you'll do:

    • Provide support services to internal project teams and client IT teams and/or end users directly through calls or emails.
    • Troubleshoot complex technical support incidents and problems for our customers.
    • Manage and support internal and managed infrastructure elements, including Shared Messaging, Private Cloud, Data Continuity, Monitoring, and AAS offerings.
    • Demonstrate excellent customer service skills throughout a customer's journey.
    • Maintaining internal documentation and abiding by governance procedures and policies.
    • Adhering to Service Level Agreements (SLAs) and Operating Level Agreement (OLAs) in place, dependent on client.
    • Assisting with internal initiatives relating to infrastructure operations, including production and shared service infrastructures, and implementing demonstration/conceptual infrastructures for client engagements.
    • Maintain certification and taking courseware relevant to Third Octet solution offerings.
    • Document and develop in-depth knowledge of client's existing IT environment.
    • Conduct research on emerging technologies to ensure cost effectiveness and infrastructure flexibility for internal and external operations.
    • Rotate with other team members to be on call during after hours and weekends.


    Requirements

    • Strong passion for technology and a desire to learn.
    • Understanding of key Microsoft technologies, focusing on Microsoft 365, including Desktop and Server Operating Systems, Active Directory, and Messaging including basic management and administration; entry-level certification preferred, but not a must.
    • Basic understanding of local and wide area networking technologies.
    • Ability to work with end users, troubleshoot application and/or service-related issues, determine root causes, and effectively capture resolution steps within internal systems.
    • Exceptional written and verbal skills.
    • Ability to manage time effectively and efficiently, including punctual responsiveness.
    • Ability to understand the key difference between proactive and reactive work habits.
    • Ability to multi-task and adapt to changes quickly while embracing ambiguity.
    • Self-motivated, with an entrepreneurial desire and the ability to work in a fast-moving team environment - all about the hustle and grit.


    Benefits

    • Competitive salary with personally tailored benefits (health, vision, dental, paramedical).
    • Flexibility in how, when, and where you work across a 4.5-day workweek with a vacation policy that is well above standards.
    • Focus windows to permit deep and uninterrupted work.
    • Broad exposure to technology solutions through client engagements and lab environments
    • Funded lifelong learning through an immersive education platform, vendor training, and soft skills development.
    • Career development paths and planning.
    • Wellness support, including access to an employee wellness platform and wellness allowance.
    • Open voice to shape the company's direction with leadership who serves your best interests.
    • Work. Life. Balance.


    At Third Octet, we aim to empower businesses with innovative IT solutions while fostering a culture of collaboration, continuous learning, and growth. We believe in creating a supportive environment where every team member has the opportunity to contribute, thrive, and make a meaningful impact.


    Please Note: Due to the high volume of applications we receive, we can only contact candidates being considered for a position. We appreciate your understanding and interest in working with us. If you are selected for further consideration, one of our recruiters will be in touch.


    At Third Octet, we use artificial intelligence (AI) to support - not replace - our people in the hiring process. AI tools help streamline certain steps, like organizing applications or surfacing relevant insights, but every decision is made by real humans. Our goal is to use AI to amplify our team's ability to thoughtfully and fairly evaluate every candidate.


    Thank you for considering a career at our company. We look forward to reviewing your application!

    Apply