Role Summary
- Build, train, and deploy AI/ML models to support company products and automation initiatives. 4 7 years in AI/ML engineering Strong hands-on with AI models, LLMs, MLOps
Responsibilities
- Develop AI/ML models for prediction, automation, and classification.
- Preprocess and analyze datasets.
- Deploy machine-learning pipelines into production.
- Work with cross-functional teams to integrate AI solutions.
- Monitor model performance and perform optimizations.
- Ensure compliance with Saudi data governance standards.
- Build, train, and deploy machine learning models.
- Contribute to AI project architecture.
- Optimize model performance.
- Implement AI pipelines using cloud platforms (OCI preferred).
Qualifications
- Bachelor’s or Master’s in AI, Data Science, Computer Science, or Engineering.
- Arabic speaker (mandatory).
Technical Skills
- Python, TensorFlow, PyTorch
- Machine learning, deep learning algorithms
- Data visualization and analysis
- MLOps tools (Docker, Kubernetes, MLflow)
- Cloud AI services (AWS Sagemaker, Azure ML)
Soft Skills
- Problem-solving & innovation
- Clear communication with non-technical stakeholders
- Strong research abilities
Preferred Certifications
- Google Professional ML Engineer
- AWS Machine Learning Specialty
- TensorFlow Developer Certificate
Job Types: Full-time, Contract
Contract length: 12 months
Pay: Up to ﷼17,000.00 per month