Conseiller.ère ML/IA

Résumé du poste

Design, develop, and deploy production-level machine learning and generative AI systems, including LLM-based solutions and RAG architectures. Manage the full ML lifecycle, from building training pipelines to monitoring performance, bias, and operational costs in production.

Détails du poste

Design, develop, and deploy production-level machine learning and generative AI systems, including LLM-based solutions and RAG architectures. Manage the full ML lifecycle, from building training pipelines to monitoring performance, bias, and operational costs in production. Requires a Bachelor's or Master's degree in Computer Science, Engineering, or Data Science with over 6 years of engineering experience, including at least 3 years in AI/ML. Proficiency in Python and major ML frameworks like PyTorch and TensorFlow is essential.

Ce que vous ferez

Design, develop, and deploy production-level machine learning and generative AI systems, including LLM-based solutions and RAG architectures. Manage the full ML lifecycle, from building training pipelines to monitoring performance, bias, and operational costs in production.

Exigences

Requires a Bachelor's or Master's degree in Computer Science, Engineering, or Data Science with over 6 years of engineering experience, including at least 3 years in AI/ML. Proficiency in Python and major ML frameworks like PyTorch and TensorFlow is essential.

Avantages

• 4 weeks of cumulative vacation from day one • Flexible working hours • Professional development allowance (PDA) for training, equipment, and physical activities • Expertise-based training • Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% • Modular group insurance plan • Public transport or parking reimbursement • Referral bonuses • 11 public holidays • Personal days • Active social life (happy hours, social club, healthy snacks, coffee)

Compétences indiquées

• Apprentissage automatique · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Machine Learning
• Generative AI
• Python
• PyTorch
• TensorFlow
• Scikit-learn
• LLM
• RAG Architecture
• CI/CD Pipelines
• Feature Engineering
• Model Deployment
• MLOps
• Data Science
• Model Monitoring
• Inference Optimization
• AI Security

Domaines d’emploi

• Technology
• Software
• Data & Analytics
• Engineering
• Consulting

Autres postes chez Levio