About Mozn

Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it’s 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, as well as many large corporations and startups. 

We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact. 

About the role

We are looking for a Data Science Manager to join our team. As a Data Science Manager you will lead a team of data scientists and engineers, overseeing all aspects of model development and managing large-scale datasets. You will contribute to software and data platform development. Your role involves driving impactful outcomes, fostering collaboration, and ensuring the team's success in delivering high-quality solutions. 

What you'll do

• Lead a team of data scientists and engineers to work with large-scale datasets, design and develop novel foundation models and their subsequent specialisation, fine-tuning and alignment 
• Take charge of the entire model development lifecycle, including model design, experimentation, evaluation, prototyping, and production, ensuring high-quality and impactful outcomes. 
• Contribute to the development of software and data delivery platforms, fostering a service-oriented approach with reusable components across multiple teams, enabling the creation of value for various business use cases. 
• Stay abreast of emerging technologies, industry trends, and market developments, conducting research and evaluations to support model and product development, as well as operational support activities. 
• Actively participate in the growth of the team by attracting, developing, and retaining top talents. 
• Foster a collaborative and inclusive team culture by promoting effective communication, knowledge sharing, and cross-functional collaboration among data scientists, engineers, and other stakeholders.  

Qualifications

• Bachelor’s or Master’s degree in computer science or a related field.  
• +6 years of experience in a relevant field with at least 4 years of experience in science and engineering management. 
• Demonstrated proficiency in building and deploying real-world production environment Natural Language Understanding applications/systems. 
• Proficiency in Arabic language. Knowledge of Modern Standard Arabic grammar and morphology is a plus. 
• Proficiency in Python programming, with extensive knowledge of advanced techniques and concepts. 
• Extensive experience with PyTorch or TensorFlow frameworks. 
• Proven expertise in handling (processing, cleaning, deduping, etc.) large-scale, real-world, noisy text corpora. 
• Experience working with large-scale distributed AI training and inference, including multi-node and cluster GPU computing is a plus. 
• Familiarity with multimodal foundation models is a plus. 
• Education or experience in computational and/or formal linguistics is a plus. 
• Must be Humble, Excellent, Relevant with a high sense of Ownership

Benefits

Why Mozn? 

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space. 
• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best. 
• The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best. 
• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI. 
• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.