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Senior Machine Learning Engineer

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Mozn
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below

About Mozn

Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia. Mozn is working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organisations, many large corporations and startups.

Senior

Machine Learning Engineer

We are looking for a Senior Machine Learning Engineer to lead the design, deployment and optimisation 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
  • Optimise ML training and inference for performance, latency and scalability
  • Monitor, retrain and improve deployed ML models
  • Drive consultation efforts and provide expert guidance to client stakeholders
Qualifications
  • Bachelor’s or master’s degree in computer science or a 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, Tensor Flow, PyTorch, ONNX and ML deployment frameworks
  • Experience with containerisation and orchestration (Docker, Kubernetes), ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama)
  • Skilled in on‑premise infrastructure design and enterprise architecture, with a strong focus on security and compliance best practices
  • Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, storage optimisation) and secure network configurations for internal AI services
  • Experience with cloud ML environments (Sage Maker, Vertex AI, OCI Data Science)
  • Familiarity with MLOps practices and automation pipelines
Benefits
  • Competitive compensation, top‑tier health insurance and an enabling culture
  • Opportunity to work on high‑impact projects in the Middle East
  • High level of responsibility and trust with freedom to innovate
  • Dynamic workplace alongside some of the greatest minds in AI
  • Emphasis on diverse perspectives and empowering employees to be their best selves
Seniority Level
  • Mid‑Senior level
Employment Type
  • Full‑time
Job Function
  • Engineering and Information Technology
Industries
  • Software Development

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Position Requirements
10+ Years work experience
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