AI/ML Solutions Engineer (MLOps)
Jobs for Humanity · Riyadh, Riyadh Region, Saudi Arabia · SAR 240K/yr
Non-profit Organizations · 11-50 employees
About the role
Design, build, and deploy AI/ML solutions while managing data pipelines and MLOps practices. Collaborate with stakeholders to ensure AI models are productionized reliably and meet business KPIs.
What they look for
Requirements
Requires 4–5 years of AI/ML engineering experience with a strong background in Python and ML frameworks. Candidates must hold a bachelor's degree in Computer Science or a related field and have proven experience deploying models to production.
Full description
Company Description
Kanz
Job Description
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
Qualifications
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
- Company: Test123
- Compensation: SAR 0 - SAR 20000 - monthly
