Related skills
azure aws sql python google cloud📋 Description
- Translate vague requirements into ML models for real-world problems.
- Conduct ML experiments using Python and ML libraries.
- Leverage GenAI to develop innovative solutions.
- Optimise ML solutions for performance and scalability.
- Implement tailored ML code for specific needs.
- Data Engineering: Ensure efficient data flow between databases and backends.
🎯 Requirements
- Multiple years experience as ML Engineer, preferably consulting.
- Python backend language; production-ready code in CI/CD pipelines.
- Cloud platforms: Google Cloud, AWS, or Azure.
- Strong SQL for querying and managing data.
- Experience scaling computations using GPUs or distributed computing systems.
- ML integration: Exposing ML components via web services (Flask) and strong communication skills.
🎁 Benefits
- 20 days paid vacation per year; public holidays for your province.
- 5 Wellness days and 5 Lifestyle days.
- Home office budget; CAD 70/month internet/phone; MacBook.
- CAD 400/year for books/subscriptions; Udemy Business access.
- Paid certifications opportunities; regular company off-sites and meetups.
- Virtual Medicine and Family Assistance Program; 100% employer-paid.
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