We are seeking a talented hands-on Staff Machine Learning Engineer to lead one of the ML Engineering teams at OSOS in Riyadh, Saudi Arabia. The ideal candidate is a native Arabic speaker with a strong foundation in AI and machine learning, possessing a record of building and deploying real-world AI systems. In this role, you will be pivotal in optimizing ML models for efficient training and inference, deploying deep learning models on specialized hardware, monitoring performance, and maintaining ML infrastructure.
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About Mozn:
Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science. The company is committed to realising Vision 2030 with a proven track record of supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is a trusted AI technology partner for various large government organizations, corporations, and startups, dedicated to providing AI-powered products and solutions that ensure the growth of digital humanity.
What You'll Do:
- Lead a multidisciplinary team of ML engineers on advanced Arabic language solutions and products.
- Design, build, support, and scale ML infrastructure (cloud and/or on-premise).
- Deploy and optimize deep learning models in production environments for inference on GPUs or CPUs.
- Monitor the performance and latency of deployed ML models using automated tools.
- Evaluate and improve data science processes, identifying opportunities for automation and scalability.
- Collaborate with product managers, data scientists, software engineers, data annotators, and stakeholders for successful ML model deployments.
- Guide the team in best practices for ML engineering, software design, testing, versioning, and deployment.
- Stay updated with the latest trends in ML engineering and enhance team capabilities.
- Explore new technologies to improve the current stack.
- Ensure the adoption of modern ML tooling and infrastructure.
Qualifications:
- Bachelor's or master's degree in computer science or a related field.
- +8 years of experience in a similar role.
- Proficiency with MLOps tools, CI/CD pipelines for ML, and scalable backend architecture.
- Proficiency in Arabic (native speaker) is a must.
- Proficiency in programming languages (e.g., Python, C, C++) and willingness to learn new languages.
- Experience with relational databases and deploying deep learning frameworks in production environments.
- Familiarity with monitoring ML models and reporting tools (e.g., Grafana, Prometheus).
- Experience with containerization technologies (e.g., Docker) is highly preferred.
- Experience with cloud platforms (e.g., AWS, GCP, OCI) and distributed computing systems is a plus.
- Knowledge of big data platforms (e.g., Kafka, Hadoop, Spark) is an advantage.
- Experience managing remote or distributed teams is appreciated.
Benefits:
- Competitive compensation and top-tier health insurance.
- Empowering culture that fosters responsibility and trust.
- Dynamic workplace with opportunities to work alongside leading minds in AI.
- Emphasis on diversity and inclusion, creating a space where everyone can thrive.
