AI/ML Solutions Engineer (MLOps)
Jobs for Humanity Open On-site Riyadh Full-time Mid-level Solutions & Sales Engineering
At a glance
Mid-level Solutions & Sales Engineering role at Jobs for Humanity. Riyadh · full-time.
Pay not stated Solutions & Sales Engineering salary
RoleSolutions & Sales Engineering
SeniorityMid-level
LocationRiyadh
WorkplaceOn-site
EmploymentFull-time
PostedJul 31, 2026
Role brief
growthroles summary, based on the employer's posting.
What you'll do
- Design, build, and deploy AI/ML models that produce measurable business value
- Create scalable data and training pipelines, including feature engineering work
- Run MLOps monitoring and continuous delivery for reliable production models
- Improve model accuracy and performance while meeting business KPIs
- Work with stakeholders to put AI into production responsibly
What you bring
- Four to five years of professional AI/ML engineering experience
- A track record of moving machine learning models into production
- Strong Python skills plus experience with machine learning frameworks
- Hands-on work with data pipelines and feature engineering
- A bachelor’s degree in computer science or a related discipline
Who this fits
This role suits a mid-level AI/ML engineer who can combine modeling, deep learning, data work, and MLOps delivery. You’ll need to work onsite in Riyadh and communicate with stakeholders across functions.
From the employer
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
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Solutions & Sales Engineering
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