Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science. Headquartered in Riyadh, Saudi Arabia, Mozn is committed to realizing Vision 2030 and has a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. As the trusted AI technology partner for some of the largest government organizations and numerous large corporations and startups, Mozn is at an exciting stage of scaling its operations to provide AI-powered products and solutions locally and globally.
We are seeking a talented Machine Learning Engineer to join our growing team. You will play a pivotal role in building and maintaining efficient data pipelines, ensuring data quality and reproducibility, and optimizing ML models for efficient training and inference.
Key Responsibilities:
- Collect, analyze, and interpret large datasets from various sources.
- Design, build, support, and scale our cloud and/or on-premise data and ML infrastructure.
- Design and maintain efficient ETL pipelines.
- Collaborate with data scientists to provide data insights for ML model development.
- Deploy deep learning models in production environments and optimize their performance for inference on either GPU or CPU.
- Evaluate and improve data engineering processes, identifying opportunities for automation, efficiency, and scalability.
- Collaborate with product managers, data scientists, and other stakeholders to ensure successful implementation of data-driven initiatives.
- Stay up-to-date with the latest trends and advancements in data engineering and ML models.
Requirements:
- Bachelor’s or Master’s degree in Computer Science or a related field.
- 2+ years of experience in a similar role.
- Proficiency in one or more programming languages (e.g., Python, C, C++) with the ability to learn new languages.
- Experience in creating and managing complex multi-stage data pipelines.
- Familiarity with relational databases, including SQL queries, database definition, and schema design.
- Effective communication skills to convey technical solutions to end-users.
- Preferred experience with deploying deep learning frameworks (e.g., TensorFlow, PyTorch) in production environments.
- Preferred experience with containerization technologies (e.g., Docker).
- Knowledge of cloud platforms (e.g., AWS, GCP) is a plus.
- Familiarity with big data platforms like Kafka, Hadoop, and Spark is a plus.
Benefits:
- Competitive compensation and top-tier health insurance.
- A culture that promotes freedom and responsibility.
- A fun and dynamic workplace working alongside some of the greatest minds in AI.
- An environment that embraces diversity and empowers employees to be the best version of themselves.
