🛠 Tech Stack

💼 About This Role

You'll design, build, deploy, and operate production-grade machine learning and generative AI systems for large-scale digital transformation projects. You'll own the end-to-end ML lifecycle, ensuring models are scalable, reliable, and deliver measurable business value. This role offers the chance to work with high-caliber professionals on complex AI initiatives in a fully remote environment.

🎯 What You'll Do

• Design and productionize machine learning and generative AI models
• Build training, validation, and inference pipelines for ML and LLM solutions
• Implement CI/CD for ML workflows with automated deployment and rollback
• Monitor AI systems for performance, drift, bias, and reliability in production

📋 Requirements

• 6+ years in engineering with 3+ years in AI/ML positions
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Experience deploying and operating ML models in production
• Experience with cloud ML platforms, especially AWS SageMaker

✨ Nice to Have

• Experience with LLM-based systems and RAG architectures
• Knowledge of responsible-AI standards and bias monitoring

🎁 Benefits & Perks

• 🏖️ 4 weeks vacation from day one
• 📚 Professional Development Allowance for training and equipment
• 💰 RRSP with employer contribution up to 3% of salary
• 🏥 Modular group insurance plan
• 🚗 Public transportation or parking reimbursement

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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