Data Scientist Toronto, ON, Canada (Hybrid)
Offre en anglaisDesign, develop, deploy, and monitor end-to-end AI solutions. Lead AI/ML projects from the research phase through to production.
- Hybride
- Toronto, ON
- Publié 6 août 2026
- Postuler avant le 5 sept. 2026
- 1 poste
Résumé du poste
Job Title: Data Scientist Location: Toronto, ON, Canada (Hybrid) Experience: 7–10+ Years Domain: Cards & Payments Please share the resume with me at [email protected] We are looking for an experienced Data Scientist with strong expertise in Machine Learning, Deep Learning, and Generative AI to design, develop, deploy, and monitor end-to-end AI solutions. The ideal candidate should have hands-on experience building production-grade AI/ML models and GenAI applications. Mandatory Skills: 7–10+ years of experience in developing and deploying Machine Learning and Deep Learning solutions end-to-end (5+ years with a relevant Ph.D. will also be considered). Strong understanding of Machine Learning, Deep Learning, Generative AI, and AI algorithms, including their mathematical foundations. Hands-on experience with LLMs, SLMs, RAG, Vector Databases, and Agentic AI frameworks. Experience in data exploration, data preprocessing, feature engineering, model development, deployment, and monitoring. Strong programming skills in Python and AI/ML frameworks. Ability to independently lead AI/ML projects from research to production. Master's degree in Computer Science or a quantitative field is mandatory (Ph.D. is a plus).
Ce que vous ferez
Design, develop, deploy, and monitor end-to-end AI solutions. Lead AI/ML projects from the research phase through to production.
Exigences
Requires 7-10+ years of experience in ML/DL and a mandatory Master's degree in Computer Science or a quantitative field. Must have hands-on expertise in Generative AI, LLMs, and Python programming.
Compétences indiquées
- Apprentissage automatiqueSouhaitée
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Machine Learning
- Deep Learning
- Generative AI
- LLMs
- SLMs
- RAG
- Vector Databases
- Agentic AI
- Python
- Data Preprocessing
- Feature Engineering
- Model Deployment
- Model Monitoring
- AI Algorithms
Domaines d’emploi
- Data & Analytics
- Technology
- Software
- Science & Research
- Finance & Accounting
Renseignements supplémentaires
- Formation minimale
- Maîtrise
- Expérience minimale
- 10+ ans
- Postuler avant le
- 5 sept. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte