Machine Learning Engineer III

About the role

Mozn is looking for a senior‑level Machine Learning Engineer to join its fast‑growing AI team in Riyadh. You will be responsible for designing, deploying and optimizing deep‑learning models on both cloud and on‑premise infrastructures, ensuring high performance and reliability for production workloads.

Key responsibilities

• Design, build, and scale cloud and on‑premise ML infrastructure.
• Own end‑to‑end workflow orchestration, model execution pipelines and automated deployment processes.
• Deploy deep‑learning models in production, optimizing inference performance on GPU or CPU.
• Monitor model latency, throughput and overall performance using automated observability tools.
• Drive reliability, scalability and reproducibility through containerisation, CI/CD and dependency management.
• Identify automation opportunities to improve data‑science processes.
• Collaborate with product managers, data scientists, software engineers and business stakeholders to ensure successful model roll‑outs.
• Stay current with emerging ML engineering trends and evaluate new technologies for stack improvement.

Required profile

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics or a related field.
• At least 2 years of professional experience building and operating ML systems.
• Strong problem‑solving skills and ability to work in a fast‑paced, collaborative environment.

Required skills

• Python
• Tensorflow
• Pytorch
• Docker
• AWS
• GCP
• Airflow
• Prefect
• Dagster
• Nvidia Triton
• TorchServe
• Onnx
• TFXServing
• Hadoop
• Spark
• Kafka
• Grafana
• SQL
• C
• OCI