ML/AI Engineer
Offre en anglaisThe engineer will fine-tune open source models on custom datasets and deploy them to production using GPU infrastructure. They will also optimize model performance and collaborate on the overall AI strategy.
- Sur place
- Engineer, BC
- Publié 16 juill. 2026
- Postuler avant le 11 sept. 2026
- 1 poste
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Résumé du poste
Back to Careers ML/AI Engineer We're seeking an experienced engineer to fine-tune open source models, train them on custom datasets, and deploy them to production using GPU infrastructure on platforms like fly.io. Requirements 5+ years of experience in Machine Learning/AI Strong Python programming skills Experience with PyTorch or TensorFlow Knowledge of MLOps and model deployment Experience with large language models and fine-tuning Responsibilities Fine-tune open source models for specific use cases Train models on custom datasets Deploy and maintain ML models in production Optimize model performance and infrastructure costs Collaborate with the team on AI strategy and implementation Email us at [email protected]
Ce que vous ferez
The engineer will fine-tune open source models on custom datasets and deploy them to production using GPU infrastructure. They will also optimize model performance and collaborate on the overall AI strategy.
Exigences
Candidates need over 5 years of experience in ML/AI with strong Python skills and proficiency in PyTorch or TensorFlow. Experience with LLMs, fine-tuning, and MLOps is required.
Compétences indiquées
- Apprentissage automatiqueSouhaitée
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Machine Learning
- Artificial Intelligence
- Python
- PyTorch
- TensorFlow
- MLOps
- Model Deployment
- Large Language Models
- Fine-tuning
- GPU Infrastructure
Domaines d’emploi
- Technology
- Software
- Engineering
- Data & Analytics
- Science & Research
Renseignements supplémentaires
- Expérience minimale
- 5+ ans
- Postuler avant le
- 11 sept. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Mid-Senior level