Publié il y a 16 jours
Data AI Engineer
@ J&M Group
Markham, Ontario
SIGNAUX
Résumé des exigences :
- The ideal candidate should possess strong expertise in Python, Machine Learning algorithms, NLP, and Large Language Models (LLMs), with the ability to build scalable AI-driven applications…
- Collaborate with business users, data engineers, and architects to gather requirements and recommend AI-driven solutions.
- Required Skills
- 6-10 years of application development experience.
- In-depth knowledge of Machine Learning algorithms and techniques.
- Experience with NLP and Generative AI.
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-10-26
- 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.
J&M Group
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 36 |
Description
Role Overview
We are seeking an experienced AI/ML Developer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should possess strong expertise in Python, Machine Learning algorithms, NLP, and Large Language Models (LLMs), with the ability to build scalable AI-driven applications in enterprise environments.
Key Responsibilities
We are seeking an experienced AI/ML Developer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should possess strong expertise in Python, Machine Learning algorithms, NLP, and Large Language Models (LLMs), with the ability to build scalable AI-driven applications in enterprise environments.
Key Responsibilities
- Design, develop, and implement AI/ML solutions for business problems.
- Build, train, evaluate, and optimize machine learning models.
- Develop applications leveraging LLMs, NLP, and Generative AI technologies.
- Collaborate with business users, data engineers, and architects to gather requirements and recommend AI-driven solutions.
- Develop and maintain data pipelines and model deployment frameworks.
- Monitor model performance and implement continuous improvement strategies.
- Integrate ML models with enterprise applications through APIs and cloud platforms.
- Ensure compliance with data security, privacy, and governance standards.
- 6-10 years of application development experience.
- Strong proficiency in Python.
- In-depth knowledge of Machine Learning algorithms and techniques.
- Experience with NLP and Generative AI.
- Experience working with Large Language Models (LLMs), preferably in banking/financial services.
- Knowledge of TensorFlow, PyTorch, or Scikit-learn.
- Good understanding of SQL and data processing.
- Experience with model evaluation metrics such as Accuracy, Precision, Recall, F1 Score, RMSE, and MAE.
- Strong analytical and problem-solving skills.
Journal
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