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Learning Ai Jobs in Toronto, ON (NOW HIRING)

KPMG

Manager, ML/AI Engineer, Data & AI

Toronto, ON · On-site

Are you a technically strong and businessoriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a handson engineer with deep ...

KPMG

Manager, ML/AI Engineer, Data & AI

Toronto, ON · On-site

Are you a technically strong and businessoriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a handson engineer with deep ...

AtHoc

AI Engineering Specialist

Toronto, ON

CA$108K - CA$152K/yr

Cloud certifications such asAWS Certified Machine Learning / AI PractitionerorMicrosoft Azure AI Engineer Associate. * Experience embedding Responsible AI, evaluation frameworks, and enterprise ...

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Learning Ai information

What is a learning AI?

A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.

What are the key skills and qualifications needed to thrive as a learning AI engineer?

To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.

How do learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?

Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.

What is the difference between Learning Ai vs Data Scientist?

AspectLearning AiData Scientist
Required CredentialsTypically a degree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Computer Science, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness environments, analyzing data to inform decisions across industries
Employer & Industry UsagePrimarily in AI development, research, and product creationAcross finance, healthcare, marketing, and other sectors for data analysis

Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.

How do I start a career in learning ai?

To start a career in learning AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining hands-on experience through projects, online courses, and certifications such as those from Coursera or edX can help build skills and demonstrate expertise to employers.

Is learning AI a good career path?

Learning AI can be a strong career choice due to high demand for skills in machine learning, data analysis, and programming languages like Python. Careers in AI often require continuous learning, strong problem-solving skills, and familiarity with tools such as TensorFlow or PyTorch. The field offers opportunities across industries including technology, healthcare, finance, and automotive sectors.

What are popular job titles related to Learning Ai jobs in Toronto, ON?

For Learning Ai jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Learning Ai jobs in Toronto, ON look for?

The top searched job categories for Learning Ai jobs in Toronto, ON are:

Learning Ai jobs near you

Generative AI & Machine Learning Developer

Veracity Ventures Inc.

Toronto, ON • Remote

Full-time

Posted 14 days ago

Job description

Generative AI & Machine Learning Developer
Location: Canada – Fully Remote
Experience: 0–9 Years
Employment Type: Full-Time
Position Overview
We are seeking a motivated Generative AI & Machine Learning Developer to contribute to the design, development, and implementation of AI-driven solutions. Candidates with strong academic, internship, project, or professional experience are encouraged to apply.
Key Responsibilities
  • Develop and integrate Generative AI and Machine Learning solutions using Python.
  • Work with Large Language Models (LLMs), prompt engineering, and AI workflows.
  • Build and integrate AI-powered applications, APIs, and data pipelines.
  • Perform data preparation, model evaluation, testing, and optimization.
  • Collaborate with technical teams to develop scalable and reliable AI solutions.
Required & Preferred Skills
  • Strong foundation in Python, Machine Learning, AI, and Generative AI/LLMs.
  • Knowledge of NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
  • Familiarity with RAG, LangChain, NLP, Vector Databases, or AI Agents is preferred.
  • Exposure to LLM APIs, REST APIs, Git/GitHub, and AWS/Azure/GCP is an advantage.
  • Strong analytical, problem-solving, communication, and collaboration skills.
Eligibility
  • 0–9 years of relevant experience; freshers and recent graduates are welcome.

  •  Canadian Permanent Residents (PR) and valid Canadian Open Work Permit (OWP) holders only. 
  • Employer sponsorship is not available.

  • Location: Fully Remote – Canada.

This is a remote position.