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python tensorflow pytorch mlops scikit-learn📋 Description
- Design, build, deploy, and operate production-grade ML and generative AI systems
- Own end-to-end ML lifecycle: scalable, reliable, secure AI services
- Role will be remote
- Work on complex, high-impact digital transformation projects
- Mentor junior ML/AI engineers and contribute to engineering best practices
🎯 Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
- 6+ years in engineering roles, with 3+ years in AI/ML positions
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Hands-on experience deploying and operating ML models in production
- Experience with cloud ML platforms, especially AWS SageMaker
- Strong understanding of data pipelines, model lifecycle management, and monitoring
🎁 Benefits
- 4 weeks of vacation starting day one
- Flexible working hours
- Professional Development Allowance for training and equipment
- RRSP with employer contribution up to 3% of gross salary
- Public transportation or parking reimbursement when required
- Modular group insurance plan
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