Lead AI Scientist: LLMs, MoE & Time-Series Forecasting

TED Optimus Sdn; Kuala Lumpur; On-site; MYR 80,000 - 120,000; Full time

Job summary

TED Optimus Sdn in Kuala Lumpur is seeking experts in Large Language Models and deep learning. You will design and train models that convert massive market data into valuable trading signals.

The role requires strong expertise in deep learning and experience with large-scale data pipelines. You'll collaborate with researchers to enhance predictive models and push our GPU infrastructure to its limits.

Ideal candidates are deeply curious, rigorous in their approach, and thrive in fast-paced environments.

Qualifications

• Strong background in deep learning, with hands-on experience training large neural networks.
• Expertise in LLMs, MoE architectures, and/or time-series forecasting.
• Proficiency in Python and a modern deep learning framework (PyTorch or JAX).
• Experience with distributed/multi-GPU training and large-scale data pipelines.

Responsibilities

• Design, train and fine-tune large-scale deep learning models for financial forecasting.
• Push GPU cluster limits through efficient distributed training.
• Translate raw market data into robust predictive features.

Skills

Deep learning expertise

Experience with LLMs

Proficiency in Python

Distributed training knowledge

Familiarity with Git

Job description

TED Optimus Sdn in Kuala Lumpur is seeking experts in Large Language Models and deep learning. You will design and train models that convert massive market data into valuable trading signals.

The role requires strong expertise in deep learning and experience with large-scale data pipelines. You'll collaborate with researchers to enhance predictive models and push our GPU infrastructure to its limits.

Ideal candidates are deeply curious, rigorous in their approach, and thrive in fast-paced environments.