Description of the Job
Originally established as a magazine (Al Bab World) in 2005 by Michael Lahyani, Property Finder is now a unified brand and technological platform that operates in several MENA nations. For developers, real estate agents, and homebuyers, we provide the most cutting-edge technologies and the greatest user experience available. The latest assessment from Property Finder confirms our growth-oriented nature and solidifies our place among the Middle East's up-and-coming unicorns. Our activities have been extended to Bahrain, Egypt, Qatar, and Saudi Arabia throughout the years, and we have acquired a major stake in Hepsiemlak, Turkey's top real estate web. We are a regional powerhouse in the proptech industry, facilitating over 14 million monthly visitors across our platforms with more than 600 committed employees spread over 6 regional locations. Our goal as the area's first home-search platform is to encourage and uplift individuals to lead the lives they deserve. Reports To: Head of AI & Data Science Summary: To join our AI & Data Science team at Property Finder, we are seeking a qualified individual with experience in both Machine Learning Engineering (MLE Level II) and Data Science (Level II). In order to promote personalization, automation, and innovation across our platforms, this position will concentrate on creating and implementing cutting-edge AI solutions utilizing transformer-based models, generative AI, and large language models (LLMs). In order to deliver significant AI-driven solutions, the ideal candidate will possess a solid foundation in machine learning, hands-on experience with transformer architectures, and the capacity to work across teams. Work on innovative projects that use GenAI and Large Language Models (LLMs) to revolutionize the real estate experience with a forward-thinking team at the forefront of innovation. Be part of a collaborative and dynamic environment that values continuous learning, technical excellence, and teamwork. With exposure to advanced AI technologies and challenging projects, you'll have the opportunity to grow professionally and make a meaningful impact in an ever-evolving industry. Principal DutiesDeep understanding and working knowledge of deep learning and neural networks architecturesDesign, fine-tune, and deploy Large Language Models (LLMs) and generative models tailored to business needs. Use transformer-based architectures, such GPT, BERT, T5, or comparable frameworks, to create applications. Use generative AI to implement use cases in process automation, content production, and customization.Improve the performance of LLM for inference in large-scale or real-time production settings. Investigate and test potential enhancements for GenAI and LLM applications. Create and manage scalable machine learning pipelines to effectively implement generative models and LLMs. Create processes for optimizing and supporting transformer models in manufacturing. Use MLOps technologies, such as Docker, ML flow, and Kubernetes, to automate the deployment process. To enable transformer-based models, streamline feature engineering procedures and data pipelines. Create and use machine learning models for customization and predictive analysis. Work together with cross-functional teams to support company initiatives and produce actionable insights. Perform sophisticated statistical analysis, feature engineering, and data wrangling. Create and assess experiments (such as A/B testing) to confirm the performance of the model. To match model development with business objectives, collaborate with the GenAI team. To guarantee the smooth integration of LLMs and generative solutions into production workflows, collaborate closely with the MLE and Data Science teams. Work along with the Futurism team to investigate innovative AI uses and LLM prospects. The Individual Desired Credentials Computer science, machine learning, data science, or a similar discipline at the bachelor's or master's degree level. two or more years of expertise in data science and machine learning engineering positions, with more than two years of practical experience with transformers, LLMs, and generative models; proficiency in fine-tuning and deploying transformer models (e.g., GPT, BERT, T5); familiarity with tools such as Hugging Face Transformers, Open AI APIs, and Lang Chain; expertise in prompt engineering and domain-specific fine-tuning of LLMs; familiarity with cloud platforms (AWS, GCP, Azure) for scalable deployments; proficiency with ML pipelines and MLOps tools (e.g., Kubernetes, Docker, and MLflow); intermediate experience with supervised and unsupervised learning algorithms; proficiency with data wrangling and feature engineering; knowledge of statistical analysis and hypothesis testing; strong analytical and problem-solving abilities; effective communication skills to collaborate with cross-functional teams; and adaptability to work in a fast-paced, dynamic environment. Our pledge to talent We provide our employees—known as creators—many opportunities to make a difference in a rapidly expanding, talent-driven company, and we push them to be bold and move quickly. We want our employees to enjoy their work at Property Finder and feel that their personal development is a direct result of the company's success. In general, you may be your best self there. Principles of Property Finder Go quickly and get things done. Opinions are outweighed by data. Don't mistake motion for advancement. If we learn from our failures, they become successes. Individuals over pixels You can reach us at:TwitterInstagram and FacebookGlassdoor on LinkedIn