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 involves applying advanced ML techniques to resolve real-world challenges faced by government and enterprise clients in Saudi Arabia.
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Key Responsibilities:
- Design, build, and scale machine learning models and infrastructure.
- Deploy deep learning and generative models into production for various 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.
- Provide expert consultation and guidance to client stakeholders.
About Mozn:
Mozn is a rapidly growing technology firm based in Riyadh, Saudi Arabia, dedicated to revolutionizing the field of Artificial Intelligence and Data Science. The company is committed to realizing Vision 2030, with a proven track record in supporting the tech ecosystem within Saudi Arabia and the GCC region. Mozn partners with major government organizations and various corporations and startups to develop AI-powered products and solutions that ensure the growth and prosperity of digital humanity.
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 in both public and private sectors.
- Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks.
- Proficiency 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 including GPU, RAM, and storage optimization.
- Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science).
- Familiarity with MLOps practices and automation pipelines.
Work Conditions:
- Full-time, on-site role.
- Competitive compensation and top-tier health insurance.
- A dynamic workplace that fosters fun and creativity, working alongside leading minds in AI.
- Encouragement of personal and professional growth and empowerment for all employees.
Language Requirements:
No specific language requirements mentioned, but fluency in English is typically expected in technology roles in Saudi Arabia.
