The company is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science, headquartered in Riyadh, Saudi Arabia. The company is working to realize Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. The company serves as the trusted AI technology partner for major government organizations, large corporations, and startups. As the company scales to provide AI-powered products and solutions both locally and globally, it is an exciting time to work in AI and create a lasting impact.
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We are looking for a Senior Machine Learning Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. This role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.
Key Responsibilities:
- Design, build, and scale machine learning models and infrastructure.
- Deploy deep learning and generative models into production for public and private sector projects.
- Collaborate with data scientists, product managers, and stakeholders to deliver AI-driven insights.
- Optimize ML training and inference for performance, latency, and scalability.
- Monitor, retrain, and improve deployed ML models.
- Drive consultation efforts, providing expert guidance to client stakeholders.
Qualifications:
- Bachelor’s or master’s degree in computer science or related field.
- 4+ years of experience in ML engineering, data science, and generative AI.
- Strong track record of projects across public and private sectors.
- Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks.
- Knowledge of containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama).
- Skilled in on-premise infrastructure design and enterprise architecture frameworks, with adherence to security and compliance best practices.
- Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, storage optimization) and secure network configurations for internal AI services.
- Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science).
- Familiarity with MLOps practices and automation pipelines.
Benefits:
- Be at the forefront of a high-growth environment in the Middle East.
- Enjoy a work culture with responsibility and trust, allowing you to focus on delivering the best results.
- Competitive compensation and top-tier health insurance.
- A dynamic workplace alongside some of the greatest minds in AI.
- A culture that emphasizes diversity and empowers individuals to be their best selves.
