🛠 Tech Stack

💼 About This Role

You'll design and deliver scalable data and machine learning solutions for client projects. Your core impact will be building end-to-end pipelines and cloud infrastructure that power ML workflows. This hybrid role in Montreal offers the chance to work on cutting-edge technologies.

🎯 What You'll Do

• Design, develop and deliver scalable software, data and ML solutions
• Build and improve CI/CD, data pipelines and model deployment workflows
• Support containerized, virtualized and cloud-native environments
• Define non-functional requirements like performance and security

📋 Requirements

• 5+ years experience in software development with recent data engineering or MLOps
• Experience with cloud platforms like AWS, Azure or Google Cloud
• Proficiency in a server language such as Python, Java, or Node.js
• Experience with data engineering platforms like Databricks, Snowflake, or BigQuery

✨ Nice to Have

• Experience with frontend frameworks like React or Angular
• Experience with LLMOps, RAG systems or GenAI deployment
• Experience with event-driven architectures or messaging systems

🎁 Benefits & Perks

• 💰 Compétitive salary and retirement savings plan
• ⏰ Flexible schedule and remote work up to 8 weeks/year
• 🏖️ Paid sabbatical
• 💪 Wellness and productivity expense account
• 👶 Parental program

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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