Divar publication. نشر دیوار

Data Scientist

• Design and implement robust evaluation frameworks to measure AI system performance against real-world outcomes and user needs
• Drive rapid experimentation and iteration cycles — using eval results to continuously improve prompts, pipelines, and model selection
• Leverage LLMs and foundational models to design and integrate AI features that improve user experiences
• Translate ambiguous product goals into concrete AI opportunities — making thoughtful decisions that balance feasibility, impact, and complexity
• Analyze diverse datasets to uncover trends and opportunities where AI can drive meaningful product improvements
• Fine-tune models (especially LLMs) when necessary and deploy them efficiently for production serving
• Continuously evaluate new AI methods, tools, and models with a pragmatic approach to identify those offering tangible benefits
• Communicate findings effectively to engineers, product managers, and stakeholders

Frontend Engineer

• This Front-End Engineering Bootcamp is designed to create a serious and structured opportunity for motivated individuals to grow into professional front-end engineers and work on products used by millions of people across Iran.
• Join an on-site onboarding session to introduce how Divar engineers think, work, and collaborate.
• Engage in a remote, self-driven preparation phase with a structured syllabus designed by Divar engineers.
• Participate in an on-site evaluation day to demonstrate core technical understanding and problem-solving skills.
• Undertake an intensive, hands-on core bootcamp focusing on building scalable React applications and writing production-ready code.