Kanz
Job DescriptionDesign, 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
- 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
Skills Required
- 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
What We Do
Jobs for Humanity connects historically underrepresented talent, including persons with disabilities, refugees, and immigrants, with welcoming employers. They leverage AI to streamline the hiring process, aiming to create a fairer future for all.
