Ai/ML Engineering Internship

techstreet; Petaling Jaya; On-site; MYR 11,000 - 22,000; Full time

Job summary

techstreet seeks a data science intern to apply data science methods to internal and external datasets, capturing trends in digital marketing, bookings, web visitors, users and more to inform business decisions.

You will work on data analytics processes, ETL, data cleaning, and building analytics to reveal patterns. Ideal for a candidate pursuing a degree or master in CS/IT/Data Science, willing to commit 4–6 months, with strong communication and teamwork.

Qualifications

• Currently pursuing a degree in CS/IT/Data Science or statistics.
• GPA/CGPA > 3.0 and strong academic performance.
• Commitment of 4–6 months for the internship.
• Strong logical thinking and problem solving abilities.
• Good communication and teamwork mindset.

Responsibilities

• Handle data analytics processes using various solutions
• Manage master data, including creation, updates and deletion / ETL
• Create and clean data sources, transform and mine data
• Leverage analytics to identify data patterns or build analytics

Skills

Data Mining

Data Science

Machine Learning

Strong analytical thinking

Team player

Communication skills

Education

Degree/Master in CS/IT/Data Science/Stats

Tools

SQL

NoSQL

ETL Tools

QA Automation

Data Pipelines

Job description

You will apply data science methods to internal and external data sets to capture meaningful trends in digital marketing, bookings, web visitors, users and more and use those trends to push insights into how we make business decisions and serve our users.

Key responsibilities

• Handle data analytics processes using various solutions
• Manage master data, including creation, updates and deletion / ETL
• Create and clean data sources, transform and mine data
• Leverage analytics to identify data patterns or build analytics

About you

• Currently pursuing Degree/Master in Computer Science, Information Technology, Data Science, Statistics or equivalent
• Willing to commit minimum 4 months up to 6 months
• GPA/CGPA > 3.0
• Strong logical thinking
• Resourceful in problem solving engineering setbacks
• Must be a team player, possess a good attitude and be self-disciplined
• Good communication and interpersonal skills
• Knowledge in Data Mining / Data Science workflows or ETL Processes
• Data Science / Machine Learning
• Database (SQL / NoSQL)
• QA Automation