🛠 Tech Stack

💼 About This Role

You'll work with experienced ML engineers to build and deploy real-world machine learning models for a financial technology company. You'll assist in developing ML pipelines and contributing to production systems. This internship offers hands-on exposure to ML systems and best practices in a fast-paced environment.

🎯 What You'll Do

• Assist in framing and understanding ML problems into technical solutions
• Support research, development, and evaluation of ML models
• Help analyze and prepare datasets for model training and validation
• Assist in running and monitoring model experiments and performance metrics

📋 Requirements

• Currently pursuing a degree in CS, Data Science, Math, Statistics, Engineering, or related field
• Python programming skills (basic to intermediate)
• Familiarity with machine learning concepts and predictive analytics

✨ Nice to Have

• Exposure to scikit-learn, XGBoost, or LightGBM
• Familiarity with MLOps tools (MLflow, DVC) or cloud (AWS, Docker, Kubernetes)

🎁 Benefits & Perks

• 🤝 Collaborative multicultural team
• 📈 Hands-on exposure to production ML systems
• 🎓 Learning from experienced engineers and data scientists

📨 Hiring Process

Estimated timeline: 2-4 weeks

1. 1TA Screening Call· 30 min
2. 2Take Home Assessment· 1 week
3. 3Interview with Hiring Manager· 1 hour

🚩 Heads Up

• Only open to Malaysians
• 6-month internship length is longer than typical