Senior Data Scientist / Senior ML Engineer

Senior Data Scientist / Senior ML Engineer – Drive Innovation at Foodics

At Foodics, we are revolutionizing the restaurant management and payment technology landscape as a leading SaaS ecosystem. Since our founding in 2014, we have grown into a global powerhouse with headquarters in Riyadh and operations spanning five countries, including the UAE, Egypt, Jordan, and Kuwait. Today, we serve customers and partners across over 35 nations, processing billions of transactions annually. Our cutting-edge solutions have cemented Foodics as one of the fastest-growing SaaS companies in the MENA region, backed by three successful funding rounds, including a landmark $170 million investment—the largest SaaS funding round in the region. Join us in shaping the future of restaurant technology and AI-driven solutions.

We are seeking a **Senior Data Scientist / Senior ML Engineer** to lead the design, development, and deployment of advanced machine learning and generative AI models that enhance our core products. In this pivotal role, you will collaborate with cross-functional teams to deliver high-impact, production-grade solutions in areas such as dynamic pricing, personalized user experiences, and fraud detection. Your expertise will drive innovation while ensuring scalability, reliability, and real-world business impact.

Key Responsibilities

As a key member of our AI and data science team, your responsibilities will include:

• End-to-End ML Model Ownership: Lead the entire lifecycle of machine learning models, from problem formulation and data exploration to training, deployment, and continuous monitoring. Ensure models are optimized for performance, scalability, and business outcomes.
• Advanced Model Development: Design and implement scalable solutions using classical machine learning techniques, deep learning frameworks, and generative AI models. Leverage cutting-edge tools like PyTorch, TensorFlow, and HuggingFace Transformers to develop state-of-the-art solutions.
• MLOps Excellence: Adhere to best practices in MLOps, including versioning, reproducibility, automated testing, and CI/CD pipelines for seamless model deployment and updates.
• Cross-Team Collaboration: Work closely with data engineers, product managers, and platform teams to ensure alignment, reusability, and adherence to technical standards. Foster a culture of knowledge sharing and mentorship.
• Model Integration and Optimization: Integrate AI models with APIs and backend systems, ensuring seamless integration with Foodics’ existing infrastructure. Continuously monitor model performance and implement improvements based on real-world feedback.
• Technical Leadership: Embrace a