4 Autonomous Systems jobs in Saudi Arabia

Build the ML infrastructure powering Saudi Arabia's financial transformation.

We're Aajil (previously BuildNow), backed by leading regional VCs and operating at the heart of Saudi Arabia's $50B+ SME market. We've already revolutionized lending timelines from 3 months to hours. Now we're building what's next: real-time, intelligent credit decisions that will transform how millions of SMEs access capital.

As Machine Learning Lead, you'll architect the intelligence layer for the Kingdom's most ambitious fintech. With exclusive access to the data we have, you'll build ML systems that don't exist anywhere in the region — yet.

Saudi Arabia is experiencing the world's most ambitious economic transformation. Vision 2030 has created unprecedented opportunities for those bold enough to seize them. The government is digitizing at breakneck speed, regulations are evolving in real-time, and there's genuine will to make the Kingdom a global fintech hub.

This isn't another "emerging market" story. This is ground zero for building financial infrastructure that will define the next decade.

You'll lead our ML efforts from our Riyadh headquarters, building systems that process billions in BNPL decisions:

• Own the evolution from hours → minutes → real-time credit decisions
• Build and lead a world-class ML team, mixing top Saudi talent with international experts
• Architect production ML systems handling thousands of daily decisions with 99.9% uptime

Essential Experience:

• 8+ years building and deploying ML systems in production environments
• Proven track record leading ML teams and delivering business impact
• Deep expertise in credit risk, fraud detection, or financial ML systems
• Experience with real-time ML serving, feature stores, and MLOps at scale
• Strong engineering fundamentals and architectural thinking
• Track record of hiring and developing exceptional ML talent

The X-Factors:

• You've built ML systems that handle serious money and serious scale
• You've worked in high-growth environments where perfect is the enemy of shipped
• You're excited by exclusive data access and building unique competitive advantages
• You see the opportunity in Saudi Arabia while others see only challenges

Unprecedented Opportunity : The Kingdom is investing billions in digital transformation. Your work here will have 10x the impact of mature markets.

Exclusive Data Access : Through government partnerships, we have data advantages that otherstartups dream of. Tens of millions of transactions— this is your ML playground.

This role isn't for everyone. It's for ML leaders who see massive opportunity where others see risk. Who want to build something that matters, not optimize something that already works.

Send us:

1. Your GitHub/papers/portfolio — show us what you've built at scale
2. A brief note on why Saudi Arabia, why now, why Aajil — we want missionaries, not mercenaries

P.S. We've already automated credit assessments from the industry standard of 3 months to hours in one of the world's most complex markets. If you think that's just the beginning of what's possible, we should talk.

Location : Riyadh, Saudi Arabia (relocation support provided)

Start Date : Q3 2025

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

1. Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
2. Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
3. Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
4. Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
5. Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
6. Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

• Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
• 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
• Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
• Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.