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