AI / ML Solutions Engineer (MLOps)

Jobs for Humanity Open · verified Sep 23, 2026

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

RoleSolutions & Sales Engineering

SeniorityMid-level

LocationRiyadh

WorkplaceOn-site

EmploymentFull-time

PostedJul 31, 2026 · 7w ago

Role brief

Growth Roles 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