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Entry Level Computer Science Artificial Intelligence Jobs in Toronto, ON

Alstom

Project Technical Manager ETCS Wayside

Toronto, ON · On-site

CA$105K - CA$135K/yr

Bachelor's Degree of Science in Engineering, Computer Science, or scientific subjects * P. Eng ... Use of Artificial Intelligence in Hiring We do not use artificial intelligence in the recruiting ...

Waabi

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

... artificial intelligence, machine learning, computer vision, and self-driving technologies ... Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ...

Alstom

System Engineering Group Manager

Toronto, ON · On-site

CA$130K - CA$150K/yr

Bachelor's degree in Engineering, Computer Science, or a related scientific field (Master's degree ... Use of Artificial Intelligence in Hiring We do not use artificial intelligence in the recruiting ...

Alstom

System Engineering Group Manager

Toronto, ON

CA$130K - CA$150K/yr

Bachelor's degree in Engineering, Computer Science, or a related scientific field (Master's degree ... Use of Artificial Intelligence in Hiring We do not use artificial intelligence in the recruiting ...

Td

Data Scientist II

Toronto, ON

CA$81K - CA$115K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $81,600 - $115,200 CAD TD is committed ... data science solutions that enable data-driven decision-making across the business. This role ...

Konrad

Software Developer (Entry Level)

Toronto, ON · Hybrid

CA$85K - CA$95K/yr

About The Role As an entry level Software Developer you'll be tasked with working on both mobile ... Graduated from a Computer Science, Software Engineering, or similar program in a University or ...

Amazon

Applied Scientist, Sales AI

Toronto, ON

... generative artificial intelligence) to build and refine models that can be implemented in ... science and engineering organization within Amazon Advertising Sales that powers selling motions ...

Waabi

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

... artificial intelligence, machine learning, computer vision, and self-driving technologies ... Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ...

Waabi

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Hibernian General Insurance

Data Scientist

Markham, ON

CA$80K - CA$120K/yr

MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ... Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment ...

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All JobsComputer Science Artificial Intelligence JobsEntry Level Computer Science Artificial Intelligence JobsEntry Level Computer Science Artificial Intelligence Jobs in Toronto, ON

Entry Level Computer Science Artificial Intelligence information

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

What are Entry Level Computer Science Artificial Intelligence jobs?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry-level AI professional in computer science?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Artificial Intelligence professional, and why are they important?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.
What are the most commonly searched types of Computer Science Artificial Intelligence jobs in Toronto, ON? The most popular types of Computer Science Artificial Intelligence jobs in Toronto, ON are:
What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Toronto, ON? For Entry Level Computer Science Artificial Intelligence jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Toronto, ON look for? The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Toronto, ON are:
Entry Level Computer Science Artificial Intelligence jobs near you
Analyst/Consultant, AI/ML Models - Financial Engineering & Modeling (Permanent / Contract)

Analyst/Consultant, AI/ML Models - Financial Engineering & Modeling (Permanent / Contract)

Deloitte

Toronto, ON • Hybrid

CA$56K - CA$84K/yr

Full-time

Life, PTO

Posted 3 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services

Job description

Job Type: Permanent 
Work Model: Hybrid 
Reference code: 133514   
Primary Location: Toronto, ON  
All Available Locations: Toronto, ON

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.


By living our Purpose, we will make an impact that matters.

  • Have many careers in one Firm.
  • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
  • Learn from deep subject matter experts through mentoring and on the job coaching
--
What will your typical day look like?


In this role you will help financial services industry (FSI) clients face quantitative issues with informed confidence. Using your deep technical skills and leveraging our global network of experts, you’ll provide professional advice to our FSI clients in a wide range of situations. The result? Our clients will be better placed to take control and receive the best solutions to their complex challenges. 
 
Develop/validate/review Large Language Models models (LLMs) based on industry best practices.
 
You will also be able to learn and work in other quantitative and analytical areas such as credit modeling, forecasting and stress testing and customer behavior modeling. 

About the team


Deloitte’s Risk, Regulatory & Forensics practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.
 
Our work is often high profile, high impact, and highly rewarding. If you’re looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you’ll find it in Risk, Regulatory & Forensics at Deloitte. Broaden your skills. Broaden your reach. Broaden your career. It’s all possible at Deloitte.

Enough about us, let’s talk about you


You are someone with:

  • Relevant experience in AI/ML domain
  • Knowledge of NLP, LLMs (extractive and generative), fine-tuning, development, and deployment of LLM model. Familiar with higher level trends in LLMs and open-source platforms
  • Creatively solution new features for the clients’ Generative AI offerings, including testing, evaluating and benchmarking different LLMs and toolchains
  • Experience with Langchain and RAG
  • Demonstrated hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch or similar statistical tools
  • Solid academic background with a PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
  • Exceptional problem-solving abilities, meticulous attention to detail and a talent for logical reason
  • Curiosity and enthusiasm about new and unfamiliar technologies with ability to learn technical/scientific concepts quickly with minimal direction
Total Rewards


The salary range for this position is $56,000 - $84,000 (Analyst) or $68,000 - $102,000 (Consultant), and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth.  Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
You shape how we make impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.
Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
The next step is yours

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca  for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent  recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.

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