🛠 Tech Stack

💼 About This Role

You'll design, develop, deploy, and operate production-grade machine learning and generative AI systems across the full ML solution lifecycle. You'll ensure models and AI services are scalable, reliable, secure, and deliver measurable business value. Collaborate with multidisciplinary teams on complex digital transformation projects.

🎯 What You'll Do

• Design and develop ML and generative AI models for production
• Build training, validation, and inference pipelines for ML and LLM solutions
• Implement feature engineering, embeddings, and model versioning best practices
• Support LLM-based systems including RAG architectures and inference optimization

📋 Requirements

• Bachelor's or Master's in computer science, engineering, data science, or related field
• 6+ years of engineering experience with at least 3 years in AI/ML roles
• Excellent proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Production deployment and operation of ML models

✨ Nice to Have

• Experience with CI/CD for ML pipelines
• Mentoring junior ML/IA engineers
• Knowledge of AI compliance and responsible AI practices

🎁 Benefits & Perks

• 🏖️ 4 weeks vacation starting day one
• 📈 Professional development allowance for training, equipment, and fitness
• 💰 RRSP with employer match up to 3%
• 🏢 Flexible work schedule and active social life
• 🚍 Transit or parking reimbursement

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Offer· 30 min