Job Description

Job Title: Machine Learning / Artificial Intelligence Engineer
Location: Hybrid (Remote Work / Global Collaboration)

About Mawaba Technologies

Mawaba Technologies is an innovation-driven company dedicated to creating smart, inclusive, and sustainable digital ecosystems.
Our mission is to leverage Artificial Intelligence (AI), Machine Learning, and Data Science to address real-world challenges, whether in smart healthcare, environmental systems, telecommunications analytics, or the optimization of public infrastructure.

We design and deploy advanced AI and Machine Learning platforms that enable organizations and communities to access actionable insights and truly transformative solutions.

Job Summary

We are looking for a Machine Learning Engineer to lead the design, deployment, and optimization of artificial intelligence models, with a particular focus on Generative AI, Computer Vision, and Data Intelligence.
In this role, you will transform innovative ideas into concrete, high-impact solutions, directly contributing to Mawaba Technologies’ mission: to use technology to advance human progress and sustainable development.

Key Responsibilities

• Design, train, and refine machine learning models to solve specific problems in the fields of healthcare, sustainability, mobility, and citizen services.
• Participate in the entire machine learning lifecycle, from understanding business needs to data collection, deployment, and continuous monitoring.
• Apply generative AI, large language models (LLMs), and deep learning frameworks such as PyTorch and TensorFlow to create innovative, production-ready solutions.
• Collaborate with data scientists, engineers, and product managers to integrate AI systems into scalable cloud environments (AWS, Azure, GCP, or Databricks).
• Perform advanced data preprocessing, feature engineering, and performance optimization for high-impact models.
• Lead initiatives related to AI ethics, model interpretability, and responsible deployment, in line with Mawaba’s human-centered values.
• Stay up to date on the latest AI innovations, open-source trends, and academic advancements to transform these discoveries into concrete, deployable features.

Desired Profile

• Proven experience in developing and deploying AI/machine learning models on major cloud platforms (AWS, Azure, Google Cloud, Databricks).
• Strong programming skills in Python and SQL, and proficiency with frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Good understanding of the principles of data science, MLOps, and software engineering.
• Demonstrated knowledge of generative AI, LLMs, or Vision Transformers.
• Experience transitioning prototypes to production models and optimizing pipelines for reliability and scalability.
• Curiosity, creativity, and a passion for applying AI to solve significant global challenges.

Why Join Mawaba Technologies

• Meaningful Work: Design technologies that make a real impact—from healthcare to waste management, civic innovation, and sustainability.
• Global and Diverse Team: Collaborate with engineers and researchers from around the world.
• Continuous learning: Access mentoring, applied research projects, and professional development opportunities.
• Growth and responsibility: Shape real-world AI systems and influence the company’s technical direction.

How to Apply

If you are passionate about creating AI systems that have a social and economic impact, we would love to learn more about you.
Please submit:

• Your updated resume.
• A cover letter describing your motivations and your recent work in AI/ML
• (Optional) Links to your GitHub or Kaggle projects or publications

Commitment to Equal Opportunity

Mawaba Technologies values diversity and inclusion. We welcome applications from people of all backgrounds, experiences, and perspectives.
Your unique ideas and skills could be the driving force behind our next innovation that will transform communities.