Machine Learning Engineer

Bayut & dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience.

As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market. With a collective strength of 8 brands, we have more than 160 million monthly users that trust in our dedication to providing them with the best platform for their needs.

As the Machine Learning Engineer, you will be participating in exciting projects covering the end-to-end Data Science lifecycle – from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development. You will work in a modern cloud-based data warehousing environment hosting Machine Learning models alongside a team of diverse, intense and interesting co-workers. You will liaise with other departments – such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.

In this role, you will:

•  Work on regression and classification problems on tabular, textual and image data.
•  Work on forecasting, anomaly detection and time-series analysis.
•  Build recommendation engines.
• Work on GPT-based applications using stock models for various business use cases.
•  Query large datasets in AWS Redshift to extract the necessary data that will feed ML models.
•  Perform data exploration to find patterns in the data and understand the state and quality of the data available.
•  Utilize Python code for analyzing data and building statistical models to solve specific business problems.
•  Evaluate ML models and fine tune model parameters considering the business problem behind.
•  Collaborate with senior peers to Deploy ML models into production that work as standalone data services.
•  Build customer-facing reporting tools to provide insights and metrics which track system performance.
•  Participate in the off-hours on call stability rota to support live ML models
•  Own at least one ML product that is in production