Publié il y a 20 jours
Artificial Intelligence Engineer
@ G-FORCE IT SERVICES INC
Ontario
En bref
G-FORCE IT SERVICES INC is hiring a full-time Artificial Intelligence Engineer to develop, train, test and deploy AI and ML models for real-world applications. The work centres on Python, generative AI with LLMs and RAG, and integrating models with APIs and existing software. The posting requires 3 to 5 years of AI/ML or related development experience and a relevant degree.
Responsabilités :
- Develop, train, test and deploy AI/ML models
- Build AI-powered applications using Python
- Implement generative AI solutions using LLMs and RAG
- Integrate AI models with APIs and existing software
- Optimize model performance, scalability and reliability
Résumé des exigences :
- 3 to 5 years of AI/ML or related development experience
- Strong proficiency in Python
- Hands-on machine learning and deep learning experience
- Familiarity with TensorFlow, PyTorch or Scikit-learn
- Experience with REST APIs and model deployment
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-10-21
- Première détection par notre source
- 2026-11-11
- Mise à jour du dossier source
- 2026-11-11
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Expérience | 3 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Formation | Baccalauréat (exigé), Maîtrise (préféré) |
| Domaines d’études | Computer Science, Artificial Intelligence, Machine Learning, Data Science |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
G-FORCE IT SERVICES INC
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 4 |
Responsibilities
- Develop, train, test, and deploy AI/ML models for real-world applications.
- Build AI-powered applications using Python and relevant ML frameworks.
- Implement Generative AI solutions using LLMs, prompt engineering, and RAG.
- Work with data preprocessing, feature engineering, and model evaluation.
- Integrate AI models with APIs and existing software applications.
- Optimize model performance, scalability, and reliability.
- Collaborate with cross-functional teams to deliver AI-driven solutions.
- Maintain code quality, documentation, testing, and deployment standards.
Required Skills
- 3–5 years of relevant experience in AI/ML engineering or related development.
- Strong proficiency in Python.
- Hands-on experience with Machine Learning and Deep Learning.
- Familiarity with TensorFlow, PyTorch, or Scikit-learn.
- Understanding of Generative AI, LLMs, NLP, and prompt engineering.
- Experience with REST APIs and model deployment.
- Knowledge of Git, Docker, and cloud platforms such as AWS, Azure, or GCP.
Preferred Skills
- Experience with RAG pipelines, embeddings, and vector databases.
- Familiarity with LangChain or LlamaIndex.
- Knowledge of MLOps, model monitoring, and CI/CD pipelines.
- Experience deploying production-ready AI applications.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
Journal
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