Deep Learning Engineer

Deep Learning Engineer

📍 Location: Q Sentral, Kuala Lumpur

🕒 Job Type: Full-Time | 🟢 Immediate Intake

🎯 Openings: 2 Positions



We’re building the brains behind competitive game AI. If developing deep learning systems with huge datasets and pushing algorithmic performance boundaries excites you — we want to talk!

We are a fast-growing AI startup focused on building a state-of-the-art Game Strategy Training Software tailored for professionals and high-level enthusiasts.



🌟 What You'll Do:

Train and refine deep learning models using extensive player behavior data.

Design, develop, deploy, and refine AI models for in-game learning & prediction.

Monitor and optimize algorithm performance within a production environment.

Research and apply state-of-the-art deep learning and game AI advancements.



✅ What We're Looking For:

Background in Computer Science, Statistics, Operations Research, or related field.

Strong technical skills with frameworks like TensorFlow, PyTorch, Caffe, or MxNet.

Experience with DNN, CNN, LSTM, or GAN model deployment.

Familiarity with reinforcement learning is a major advantage.

Coding fluency in Python and Linux; experience with C++ is a plus.

Excellent logical thinking, communication, and problem-solving skills.



✨ Bonus If You Have:

Track record in applying DL models in NLP, CV, or recommendation systems.

Hands-on experience scaling models in a production environment.

Contributions to the open-source machine learning ecosystem.