Mozn is a rapidly growing technology firm that is revolutionizing the field of Artificial Intelligence and Data Science. Headquartered in Riyadh, Saudi Arabia, we are working to realize Vision 2030 and have 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 organizations, as well as many large corporations and startups. We are at an exciting stage of scaling the company to provide AI-powered products and solutions, both locally and globally, to ensure the growth and prosperity of our digital humanity.
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We are seeking a talented Machine Learning Engineer to join our growing team. In this role, you will play a pivotal role in optimizing ML models for efficient training and inference, deploying deep learning models in specialized hardware, monitoring the performance of deployed models, and maintaining ML infrastructure.
Responsibilities:
- Design, build, support, and scale cloud and/or on-premise ML infrastructure.
- Deploy deep learning models in production environments and optimize their performance for inference.
- Maintain infrastructure (on-prem and cloud) and prepare it for training and inference.
- Monitor deployed ML models for performance, latency, and throughput using automated tools.
- Evaluate and improve data science processes, identifying opportunities for automation, efficiency, and scalability.
- Collaborate with product managers, data scientists, software engineers, data annotators, and business stakeholders to ensure successful deployments of ML models.
- Stay updated with the latest trends in ML engineering and apply this knowledge to enhance the team’s capabilities.
- Explore and learn new technologies that can improve our current stack.
Qualifications:
- Bachelor's or Master's degree in Computer Science or a related field.
- 2+ years of experience in a similar role.
- Proficiency in Arabic (Native Arabic speaker) is a must.
- Proficiency in one or more programming languages (e.g., Python, C, C++) and the ability to learn new languages.
- Experience with relational databases including SQL queries, database definition, and schema design.
- Experience with deploying deep learning frameworks (e.g., TensorFlow, PyTorch, Onnx) in production environments.
- Familiarity with monitoring tools and reporting (e.g., Grafana, Prometheus).
- Experience with containerization technologies (e.g., Docker) is highly preferred.
- Knowledge of distributed computing systems and cloud platforms (e.g., AWS, GCP, OCI) is a plus.
- Familiarity with big data platforms like Kafka, Hadoop, and Spark is a plus.
Benefits:
- Competitive compensation and top-tier health insurance.
- An empowering culture that allows you to focus on what you do best.
- A fun and dynamic workplace alongside some of the greatest minds in AI.
- Opportunities to grow and develop in a high-growth environment.
This is an exciting opportunity to be at the forefront of AI development and innovation in the Middle East.
