AI/ML Solutions Engineer (MLOps)

Kanz 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