✨ AI Summary
Machine Learning Intern at Bayut & dubizzle will participate in end-to-end data science projects, from data cleaning and exploration to developing and evaluating ML models, and deploying them in production with guidance from senior peers. You will query large datasets using SQL, analyze data with Python, build statistical models, and create customer-facing reporting tools to track system performance. The role requires a bachelor’s degree in a quantitative field, basic knowledge of ML algorithms, SQL, and data visualization, along with strong communication and problem-solving skills. This is an internship in the Business Intelligence department with mentorship, collaboration across departments, and a focus on cutting-edge big data initiatives.
Requirements
Bachelor’s degree in AI, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field. Statistical modelling and math Basic knowledge of Machine learning algorithms. Basic knowledge of SQL. Basic knowledge of visualization tools such as Periscope Excellent verbal and written communication. Strong problem solving skills.
Description
Bayut & dubizzle - The Arab World's only Homegrown Unicorn Business is now inviting applications for internships of 6 months duration in our Business Intelligence department.World-class mentors, fast paced & high performing work environment, our open culture and the opportunity to make an impact are just a few of the reasons why our internship program is highly sought after.As a Machine Learning Intern, 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 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: Query large datasets with SQL and 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 in production. Build customer-facing reporting tools to provide insights and metrics which track system performance. Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data Participate in the off-hours on call stability rotation to support live ML models