Machine Learning Engineer

About the Role:

We are looking for a Senior Machine Learning Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.

What You'll Do:

• 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.
• Expertise in 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 strong adherence to security and compliance best practices.
• Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and 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.