AI/ML Solutions Engineer (MLOps)
Summary
Build and deploy AI/ML models and MLOps pipelines in Python to production, ensuring reliability, scalability, and measurable business impact.
Design, build, and deploy AI/ML solutions that deliver measurable business value, using modern modeling, data pipelines, and MLOps practices, while collaborating with stakeholders to productionize AI responsibly in Riyadh.
Key Performance Indicators:
• Develop and deploy ML models reliably
• Improve model accuracy and performance
• Build scalable data and training pipelines
• Own MLOps monitoring and continuous delivery
• Deliver AI solutions meeting business KPIs
Qualifications:
• 4–5 years AI/ML engineering experience
• Proven experience deploying ML models to production
• Strong background in Python and ML frameworks
• Experience with data pipelines and feature engineering
• Bachelor’s degree in Computer Science or related field
Required Qualifications
- 4–5 years AI/ML engineering experience
- Proven experience deploying ML models to production
- Strong background in Python and ML frameworks
- Experience with data pipelines and feature engineering
- Bachelor’s degree in Computer Science or related field
- Python
- Machine Learning
- Deep Learning
- PyTorch or TensorFlow
- SQL and data modeling
- MLOps (Docker, CI/CD)
- Model monitoring and evaluation
- Problem-solving mindset
- Cross-functional collaboration
- Stakeholder communication