Related skills
azure aws python google cloud machine learning📋 Description
- Hands-on ML engineer role focusing on Python production code
- Lead projects and client discussions
- Use ML to solve real business problems
- Leverage GenAI to develop innovative solutions
- Optimise ML models for performance and scalability
- Deploy production-grade ML software and data-driven solutions
🎯 Requirements
- Multiple years experience as ML Engineer, consulting background preferred
- Proficiency in Python for backend, production-ready CI/CD code
- Cloud platforms: Google Cloud, AWS, or Azure
- Strong SQL knowledge for querying and managing data
- Experience scaling computations with GPUs or distributed systems
- ML integration via web services (e.g., Flask in Python)
🎁 Benefits
- 20 days paid vacation per year
- Public holidays for your province of residence
- 5 wellness days and 5 lifestyle days
- 100% remote with home office budget
- CAD 70/month internet/phone + tech equipment budget
- Company-provided MacBook Pro or Air
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