Machine/Deep Learning Engineer Internship - WFH/Remote Work Allowed

Great internships are not only the ones that prepare you for the work you hope to do after completing your studies, but they are also the ones that help you realise what work you’re currently best suited for and where you might really fit in the working world. We give our interns work that help push their limits and capabilities whenever and wherever possible to prepare them for a future where new job opportunities may require you to become more skilled and efficient workers, especially with the rise of innovation in both business and IT as well as ever increasing automation in a covid-stricken world.

This internship opportunity focuses on work that contributes towards the development of our mobile-App based platform (SEEKA) which is a huge search engine for educational opportunities from Primary/Grade school to University level as well as language schools and job opportunities. Our mission is to make it easier for anyone to find, filter and apply to different schools or educational institutions that suit them best as well as make the transition from studies to work more seamless.   

We are currently looking to hire interns who want to have the chance to apply their skills and knowledge into creating a sophisticated recommendation system meant to facilitate decision-making for our users when it comes to study opportunities and jobs.

Bellow are the important details you will need to take note of:

• Only English is spoken on the job
• International Students and Locals in Malaysia are welcome to apply for this position

• Using Recombee to create recommendations tailored to each specific user on our platform by coming up with various use case scenarios where the A.I. meets business objectives
• Brainstorming and finding ways to improve user experiences and satisfaction on our platform
• Working with a team of developers based locally and overseas 
• Running A/B tests, performing statistical analysis as well as documenting the impact of the machine learning model 
• To actively check as well as look for problems with the Recombee system and to report those problems to your closest supervisor 
• Coding with programming languages such as Python, SQL and R code
• Extensive use of Excel/CSV. files or datasets to test the machine learning solutions

• Graduated or currently pursuing a major in Computer Science, Artificial Intelligence or Data Science
• Strong fundamental knowledge on how Machine Learning and Artificial Intelligence can be applied to business solutions
• Ability to code with R, Python, and SQL
• Strong critical and analytical thinking skills
• Able to take constructive criticism and learn from it
• Well-versed in Microsoft Excel 
• Practical experience in building predictive models using statistical or machine learning methods is a bonus 
• Able to work under minimal supervision and guidance 
• Able to work under pressure or stress

Benefits 

1. Work from home or remote work is allowed 
2. A reference letter can be requested upon completion of internship
3. A bit of flexibility with working time aside from the usual 9am to 6pm (Ex. 8am to 5pm / 7:30am to 4:30pm)