Role overview
Key Responsibilities
Design, build, and develop AI / Machine Learning models for production use
- Train models and perform advanced fine-tuning where required
- Prepare, clean, structure, and evaluate datasets for model training
- Optimize model performance, accuracy, and reliability
- Work on AI models supporting both Arabic and English languages
- Prepare models for integration into full AI platforms and systems
- Collaborate closely with product, content, and engineering teams
- Contribute to building end-to-end AI solutions, not isolated models
- Support deployment of models in **cloud and on-premise environments
Core Requirements**
- Proven hands-on experience developing and training AI / ML models
- Strong proficiency in Python and experience with PyTorch
- Solid understanding of model architectures, evaluation, and optimization
- Experience handling real-world data (cleaning, labeling, validation)
- Ability to build models from scratch or enhance existing models
- Strong applied problem-solving mindset with a focus on production systems
Strong Advantages (Highly Valued)
- Experience with Natural Language Processing (NLP) and Large Language Models (LLMs)
- Hands-on experience working with the Arabic language in AI systems
- Knowledge of RAG architectures, vector databases, or embedding systems
- Experience deploying AI models on-premise or in restricted environments
- Familiarity with model lifecycle management, monitoring, and iteration
- Previous experience working on applied AI products or platforms
Job Type: Full-time
What you'll work on
Design, build, and develop AI / Machine Learning models for production use
- Train models and perform advanced fine-tuning where required
- Prepare, clean, structure, and evaluate datasets for model training
- Optimize model performance, accuracy, and reliability
- Work on AI models supporting both Arabic and English languages
- Prepare models for integration into full AI platforms and systems
- Collaborate closely with product, content, and engineering teams
- Contribute to building end-to-end AI solutions, not isolated models
- Support deployment of models in **cloud and on-premise environments
Core Requirements**
- Proven hands-on experience developing and training AI / ML models
- Strong proficiency in Python and experience with PyTorch
- Solid understanding of model architectures, evaluation, and optimization
- Experience handling real-world data (cleaning, labeling, validation)
- Ability to build models from scratch or enhance existing models
- Strong applied problem-solving mindset with a focus on production systems
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Machine Learning Pytorch