Bayut | dubizzle

Internet

MachineLearning-Intern

Dubai, United Arab Emirates CONTRACT Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Machine Learning - Intern at Bayut | dubizzle. Skills: Data Science lifecycle, Machine learning development, cloud-based data warehousing environment, Machine Learning models. 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.”

What You'll Achieve.

enable them to be successful.; provide insights and metrics which track system performance.

Industry & Context.

Internet
Problems you'll solve

problem solving skills.

Eligibility Requirements

Participate in the off-hours on call stability rotation to support live ML models

What They're Looking For.

Must Have

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.

Nice to Have

Basic knowledge of visualization tools such as Periscope

What You'll Do.

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.

Build customer-facing reporting tools to provide insights and metrics which track system performance.

How You'll Work.

Team & Collaboration

Collaborate with senior peers to Deploy ML models in production.; Being part and contributing towards a 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; liaise with other departments – such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.

Communication Scope

Excellent verbal and written communication.

Full Job 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 **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

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