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Manager Edge Ai Machine Learning Jobs in Toronto, ON

This is an opportunity to work at the intersection of cutting-edge AI, modern engineering, and real ... Experience in financial services, pensions, asset management, or related domains. * Bachelor ...

From store managers and DC leaders to category and supply chain teams, Thri5 routes the right ... Your Role As an AI / Machine Learning Engineer at Thri5, you'll help build the agent layer that ...

... edge * Architect scalable machine learning and Gen AI systems that integrate with existing data ... You'll have regular career, development, and performance conversations with your manager, as well ...

Using AI and machine learning, we have digitized and optimized the logistics process while giving ... managing production workflows. Responsibilities: - Design and implement scalable systems for ...

... responsible AI through strong API and data standards, metadata management, security-by-design ... Machine Learning Expertise:Strong knowledge of machine learning algorithms, with experience ...

Driven by a passion for cutting-edge AI research, particularly in the transformative areas of large ... and managing AI models or agentic systems. * Understanding of enterprise software integration ...

Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts ... Research and development on cutting-edge machine learning technologies. Qualifications and Skills:

Technology / AI / Semiconductor About the Role Our client is a global technology leader developing next-generation AI and machine learning solutions for mobile, automotive, IoT, and edge computing ...

... edge * Architect scalable machine learning and Gen AI systems that integrate with existing data ... You'll have regular career, development, and performance conversations with your manager, as well ...

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

Layer 6 is the AI research centre of excellence for TD Bank Group. We develop and deploy industry ... We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning ...

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Manager Edge Ai Machine Learning information

What is the difference between Manager Edge Ai Machine Learning vs Data Scientist?

AspectManager Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in data analysis or ML
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in AI/ML applicationsAnalyzes data, develops models, and provides insights, often working independently or in teams
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

While both roles involve AI and machine learning, the Manager Edge Ai Machine Learning focuses on leading teams and managing AI projects, whereas Data Scientists primarily analyze data and develop models. The manager role emphasizes leadership and project oversight, while Data Scientists concentrate on technical analysis and model development.

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Infographic showing various Manager Edge Ai Machine Learning job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Generative AI & Machine Learning Developer

Veracity Ventures Inc.

Toronto, ON • Remote

Full-time

Posted yesterday

New


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.