AI/ML Solutions Engineer (MLOps)

Job 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