About the role
In this position, you will build and operationalize machine learning and AI capabilities from idea to production, delivering measurable product value. Your responsibilities will include developing data move pipelines, training and inference workflows, model-serving services, APIs, and evaluation frameworks for various use cases such as recommendation, forecasting, anomaly detection, classification, NLP, semantic search, and generative AI.
Your tasks will involve feature engineering, experiment design, model tuning, offline and online validation, and integrating models into scalable product architectures. You will work on improving LLM-based workflows, encompassing prompt design, retrieval-augmented generation, vector search, guardrails, and response quality evaluation. You’ll also enhance the engineering backbone around AI through CI/CD, monitoring, observability, testing, and model lifecycle automation, ensuring solutions are reliable, cost-aware, secure, and ready for enterprise scale.
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What you’ll build
- Develop and operationalize machine learning and AI capabilities.
- Create data move pipelines, training and inference workflows, model-serving services, and APIs.
- Implement evaluation frameworks for various use cases including recommendation, forecasting, anomaly detection, classification, NLP, semantic search, and generative AI.
- Conduct feature engineering, experiment design, model tuning, offline and online validation.
- Integrate models into scalable product architectures.
- Improve LLM-based workflows like prompt design and response quality evaluation.
- Strengthen engineering around AI through CI/CD, monitoring, observability, and testing.
- Automate model lifecycle for enterprise readiness.
What you bring
- Strong programming skills in Python; knowledge of Java or Go.
- Understanding of machine learning fundamentals (supervised and unsupervised methods).
- Hands-on experience with deep learning frameworks (e.g., PyTorch or TensorFlow).
- Capabilities in data preparation, feature engineering, and model validation and evaluation.
- Experience with deploying and integrating ML models into production systems through various pipelines.
- Familiarity with generative AI concepts and techniques.
- Knowledge of MLOps and modern data infrastructure, including tools like Spark, Kafka, Airflow.
- Experience operating ML systems in production, with a focus on monitoring and debugging.
About You
- 1-3+ years of experience in machine learning engineering, software engineering, or related field.
- Proven track record of deploying models into production.
- Passionate about building reliable and scalable ML systems.
- Ownership of delivering end-to-end solutions.
- Ability to balance experimentation with engineering rigor.
- Collaborative problem-solver who thrives in ambiguous environments, 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 and United Arab Emirates. This collaborative environment is focused on turning complex business challenges into practical, scalable solutions. It values curiosity, ownership, and continuous learning, encouraging new ideas and prioritizing real-world impact. You will thrive here if you are customer-centric and comfortable navigating the evolving AI landscape.
About the team
We are a passionate team of engineers focused on building valuable, scalable AI frameworks that generate real business impact. We thrive on solving challenging problems, innovating with cutting-edge technologies, and working closely together to deliver reliable, high-performing AI systems. Our team emphasizes ownership, technical excellence, and the creation of sustainable solutions to meet complex demands.
Contract and travel details
- Expected travel: 0 - 10%
- Employment type: Regular Full Time
- Career status: Professional
- Additional locations: #LI-Hybrid
Benefits
- Continuous learning and skill growth opportunities.
- Supportive team environment promoting personal development.
