In this role, you'll build and operationalize machine learning and AI capabilities from idea to production and deliver measurable product value. You'll develop data move pipelines, training and inference workflows, model-serving services, APIs, and evaluation frameworks for use cases such as recommendation, forecasting, anomaly detection, classification, NLP, semantic search, and generative AI. Your work will include feature engineering, experiment design, model tuning, offline and online validation, and integration of models into scalable product architectures.
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Location
Riyadh, SA, 11435
Work Conditions
- Regular Full Time
- Expected Travel: 0 - 10%
- Hybrid Work Environment
Requirements
- Strong programming skills in Python, along with working knowledge of Java or Go, for building production-grade services and APIs.
- Solid understanding of machine learning fundamentals, including supervised and unsupervised methods such as classification, regression, clustering, ranking, and recommendation systems.
- Hands-on experience with deep learning frameworks (e.g., PyTorch or TensorFlow) for model training, fine-tuning, and inference.
- Strong capabilities in data preparation, feature engineering, data validation, and model evaluation using appropriate offline and online metrics.
- Experience building, deploying, and integrating ML models into production systems through batch, real-time, or streaming pipelines.
- Familiarity with generative AI concepts, including LLMs, embeddings, vector databases, prompt engineering, and retrieval-augmented generation, and how to apply them in practical use cases.
- Working knowledge of MLOps and modern data infrastructure, including experiment tracking, model versioning, CI/CD, and tools such as Spark, Kafka, Airflow, and feature stores.
- Experience operating ML systems in production, including monitoring for drift, latency, accuracy, cost, bias, and performing debugging and failure analysis to ensure reliability and business impact.
- 1-3+ years of experience in machine learning engineering, software engineering, or a related field, with a track record of deploying models into production.
About You
You are passionate about building reliable, scalable ML systems and take ownership of delivering end-to-end solutions. You balance experimentation with engineering rigor, making thoughtful trade-offs to ensure models are both innovative and production-ready. You are a collaborative problem-solver who thrives in ambiguous environments and is motivated by delivering measurable business impact.
Where You Belong
You will be part of a growing team of AI and industry experts dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high-impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. This team thrives on working together to turn complex business challenges into practical, scalable solutions.
About the Team
We are a team of engineers passionate about building valuable, scalable AI frameworks that drive real business impact. We thrive on solving challenging problems, innovating with cutting-edge technologies, and collaborating closely to deliver AI systems that are reliable, high-performing, and ready for production. Our team values ownership, technical excellence, and creating solutions that stand the test of scale and complexity.
