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AI Engineer
- Toronto, ON, Canada
Full-time
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The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
Role Description This full-time AI Engineer role is based in Toronto, ON and follows a hybrid work model, combining on-site collaboration with flexible work-from-home arrangements. The AI Engineer will design, build, and deploy AI solutions, including machine learning models and neural network architectures, to address complex business challenges. Day-to-day responsibilities include data exploration and preprocessing, model training and evaluation, and integrating AI components into production-grade software systems. The role involves applying techniques such as pattern recognition and natural language processing (NLP), collaborating closely with data scientists, software engineers, and business stakeholders. The AI Engineer will also contribute to code reviews, performance optimization, documentation, and continuous improvement of AI pipelines and practices.
Qualifications
- Strong foundation in Computer Science with experience in Software Development for building, testing, and deploying AI-driven applications.
- Hands-on experience with Neural Networks and Pattern Recognition for designing and implementing machine learning solutions.
- Practical knowledge of Natural Language Processing (NLP) techniques and tools to develop language-based AI applications.
- Proficiency in programming languages commonly used in AI (such as Python or Java) and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience working with cloud platforms and data engineering workflows for scalable model training and deployment.
- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
- Effective communication and collaboration skills for working in cross-functional, hybrid teams.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field; relevant industry experience in AI/ML is highly valued.
More about this job
Responsibilities
Design, build, and deploy AI solutions, including machine learning models and neural network architectures, and integrate AI components into production software. Explore and preprocess data, train and evaluate models, collaborate with cross-functional teams, and contribute to code reviews, performance optimization, documentation, and continuous improvement of AI pipelines.
Requirements
A bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or a related field is requested, along with a strong computer science foundation and software development experience. Candidates should have practical experience with neural networks, pattern recognition, NLP, programming languages such as Python or Java, machine learning frameworks, cloud platforms, and data engineering workflows, as well as strong analytical, communication, and collaboration skills.
Skills
- Artificial Intelligence
- Machine Learning
- Neural Networks
- Pattern Recognition
- Natural Language Processing
- Python
- Java
- TensorFlow
- PyTorch
- Scikit-Learn
- Software Development
- Data Preprocessing
- Model Training
- Model Evaluation
- Cloud Platforms
- Data Engineering
Visa sponsorship
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Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Consulting
Keywords
- Artificial Intelligence
- Data And AI Transformation
- Machine Learning
- Neural Networks
- Pattern Recognition
- Natural Language Processing
- Python
- Java
- TensorFlow
- PyTorch
- Scikit-Learn
- Software Development
- Data Exploration
- Data Preprocessing
- Model Training
- Model Evaluation
- Production Deployment
- Cloud Platforms
- Data Engineering
- AI Pipelines
- Performance Optimization
- Code Reviews
- Business Requirements
- Agile Operating Models
- Modern Data Platforms
- Cross-Functional Collaboration