3 months ago
Toronto, CanadaSenior
Responsibilities
- Design, implement, and productionize machine learning and generative AI models.
- Build training, validation, and inference pipelines for ML and LLM-based solutions.
- Implement feature engineering, embeddings, model versioning, CI/CD, automated deployment, and rollback practices.
- Support LLM-based systems, including RAG architectures and inference optimization.
- Monitor AI systems for performance, drift, bias, and production reliability.
- Optimize compute usage, latency, and operational costs across AI workloads.
- Ensure AI systems meet security, privacy, and responsible-AI standards.
- Collaborate with AI Architects, Developers, and Data Engineers across delivery teams.
- Mentor junior ML/AI engineers and contribute to engineering best practices.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or a related field.
- 6+ years of experience in engineering roles, including 3+ years in AI/ML positions.
- Strong proficiency in Python and ML frameworks including PyTorch, TensorFlow, and scikit-learn.
- Hands-on experience deploying and operating ML models in production.
- Experience with cloud ML platforms, especially AWS SageMaker.
- Strong understanding of data pipelines, model lifecycle management, and monitoring.
Benefits
- Remote work arrangement.
- Full-time, permanent employment.
- Four weeks of cumulative vacation starting from day one.
- Flexible working hours.
- Professional Development Allowance for training, computer equipment, and physical activities.
- Training tailored to areas of expertise.
- RRSP with employer contributions up to 3% of gross salary.
- Modular group insurance plan.
- Public transportation or parking reimbursement when required.
- Referral bonuses, 11 statutory holidays, personal days, and social activities.
Categories
About Levio
Levio is a Quebec City–based technology consulting and systems integration firm delivering digital transformation for enterprises and the public sector. It provides services in cloud, cybersecurity, data platforms, and applied AI (including hyperautomation and data mesh). Founded in 2014 and privately held, it serves clients in finance, insurance, healthcare, aerospace, retail, and government, and received private‑equity investment in 2024.