https://bayt.page.link/pRuScGvKWLK1gkYU6
أنشئ تنبيهًا وظيفيًا للوظائف المشابهة

الوصف الوظيفي

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 organizations, 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. 


The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Software Engineer position would bring innovative concepts from diverse domains, encompassing information retrieval, distributed computing, large-scale system architecture, networking and data storage, security, and artificial intelligence.  Our Software Engineers at Mozn are responsible for developing next-generation technologies in fraud detection and prevention. As part of this role, you would contribute to the development of a high-performance Software as a Service (SaaS) platform capable of processing a large volume of transactions per second.   


As a Software Engineer, your daily workload might include: 


  • Responsible for the design, development, testing, and deployment of software components.  
  • Write clean and maintainable code and participate in peer code reviews to ensure code quality.  
  • Develop unit tests to run in a continuous integration environment.  
  • Follow and contribute to best practices for coding and development processes.  
  • Contribute to the documentation of software design and technical specifications.  
  • Contribute as a collaborative team member, requiring limited supervision and demonstrating the ability to meet deadlines and goals.  
  • Collaborate with Scrum Master, Product Management, and other team members. 
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