Deep Learning Engineer

Tycheverse Management Services Sdn Bhd; Kuala Lumpur; On-site; MYR 100,000 - 150,000; Full time

Job summary

A fast-growing AI startup is looking for a talented individual to contribute to the development of Game Strategy Training Software. You will work on training deep learning models for in-game learning and prediction, utilizing extensive player behavior data. Ideal candidates should have a strong background in computer science and relevant frameworks, as well as hands-on experience in deploying models. Join a vibrant team where ideas matter and advance with opportunities to grow.

Qualifications

• Strong technical skills with frameworks like TensorFlow, PyTorch, Caffe, or MxNet.
• Experience with deployment of DNN, CNN, LSTM, or GAN models.
• Proficient in Python and Linux; C++ experience is a plus.

Responsibilities

• Train and refine deep learning models using extensive player behavior data.
• Design, develop and refine AI models for in-game learning and prediction.
• Monitor and optimize algorithm performance within a production environment.

Skills

Deep Learning

TensorFlow

PyTorch

C++, Linux

Problem-solving skills

Education

Background in Computer Science, Statistics, Operations Research

Tools

DNN

CNN

LSTM

GAN

Reinforcement Learning

Job description

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.
• 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.
• Work at the forefront of AI & deep learning in the gaming industry.
• A flat and fast‑paced startup culture where your ideas matter.
• Comprehensive ownership of key algorithm components and opportunities to grow.