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python machine learning agile prompt engineering llmsπ Description
- Design, develop, and maintain ML models to solve business-critical problems
- Own model lifecycle: feature engineering, tuning, evaluation, calibration
- Apply predictive analytics and prompt engineering to extract insights
- Test, benchmark, and monitor model performance
- Collaborate with stakeholders to translate business needs into scalable ML solutions
π― Requirements
- 5+ years of experience in ML or data science
- Strong Python development with hands-on ML modeling
- Solid understanding of ML concepts and model lifecycle
- Experience with large language models (LLMs), generative AI, and prompt engineering
- Strong analytical and communication skills across technical and business teams
π Benefits
- Comprehensive benefits β health, life, and disability insured from Day 1
- RRSP with employer contributions
- Virtual health care for employees and dependents
- Employee and Family Assistance Program
- Wellness reimbursement for fitness
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