ABLE PERFECT SDN. BHD. Hiring! Full Time Management Intern: Data Science - Automation Engineering in Federal Territory - Ricebowl

ROLE OVERVIEW

We're building the future of enterprise automation at Able Perfect. If you're passionate about AI, data science, and solving real-world business problems, this is your launch pad.

As a Data Science & Automation Engineering Intern, you'll work alongside our core team to design, build, and deploy intelligent systems that automate critical business workflows, optimize departmental processes, and implement next-generation data platforms.

High performers in this program will be offered full-time conversion.

THE ROLE: WHAT YOU'LL ACTUALLY DO

Build Automation Projects:

·      Design and implement AI-powered workflows using Python, ML frameworks, and automation tools to eliminate manual processes across departments (finance, HR, operations, customer service, etc.)

Develop New Systems:

·      Architect and deploy data pipelines, analytics dashboards, and intelligent systems that give departments real-time insights and autonomous decision-making

Own Real Projects:

·      Lead end-to-end ownership of 2-3 meaningful automation initiatives from requirements gathering to production deployment

Work with AI & ML:

·      Apply current AI/LLM technologies, machine learning models, and data science techniques to solve business challenges

Cross-Functional Collaboration:

·      Partner with department heads, stakeholders, and product teams to understand workflows and deliver impact

Data Management:

·      Build robust data infrastructure, databases, and ETL pipelines to support automation initiatives

WHO WE'RE LOOKING FOR

Must-Have:

·      Currently enrolled in or recent graduate from a top university (Computer Science, Data Science, Analytics, Engineering, Mathematics, or related field)

·      Strong programming skills in Python

·      Working knowledge of SQL and relational/non-relational databases

·      Understanding of AI/ML fundamentals (supervised learning, model evaluation, basic NLP)

·      Problem-solving mindset—you break down messy problems systematically

·      Clear communication skills (you can explain technical concepts to non-technical stakeholders)

Nice-to-Have:

·      Excel proficiency (pivot tables, data manipulation, dashboard building)—useful for communicating insights to non-technical teams

·      Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch)

·      Familiarity with cloud platforms (AWS, GCP, Azure) or containerization (Docker)

·      Knowledge of automation/workflow tools (Zapier, RPA frameworks, orchestration tools)

·      Experience with REST APIs, microservices, or web development

·      Hands-on experience with LLMs or generative AI

·      Git version control & CI/CD pipelines

Mindset (Critical):

·      Curiosity about emerging AI/automation tech

·      Initiative—you identify gaps and propose solutions

·      Adaptability—you're comfortable learning on the job

·      Ownership mentality—you see projects through

WHAT YOU'LL LEARN

AI & Automation:

·      Hands-on ML, LLM integration, prompt engineering, automation framework design

Software Engineering:

·      Full SDLC, code quality, testing, deployment, production systems

Business Intelligence:

·      How to translate business requirements into technical solutions

Data Architecture:

·      Designing scalable data systems and pipelines

Real Impact:

·      See your work deployed and used by real teams across the organization

WHY JOIN US

 Fast-track to full-time: Proven performers get conversion offers

 Cutting-edge work: Work on the latest AI/automation technologies

 Ownership: Drive real projects, not busy work

 Growth: Learn from experienced engineers in a startup-paced environment

 Impact: Automate entire departments—your work will be used immediately

We're actively recruiting from University of Malaya, Universiti Kebangsaan Malaysia (UKM), Universiti Teknologi Petronas (UTP), Universiti Sains Malaysia (USM), Monash University Malaysia, and other top institutions.

LOGISTICS

Duration: 3-6 months

Location: On-site/hybrid (able to discuss)

Start Date: Immediate

Hours: Full-time equivalent

Compensation: Competitive stipend

Reporting To: Business Development Manager

APPLICATION & PROCESS

To Apply: Submit resume/CV highlighting relevant projects, coursework, or personal automation/data projects

Brief cover letter (2-3 sentences): Why automation interests you + one problem you'd solve

Optional: Link to GitHub, portfolio, or past project writeup

All applications to *************

Ready to shape the future of automation? Apply now.