ML Engineer: Real-Time Inference & Large-Scale Training

ittihad medical centre; Hong Kong; On-site; HKD 500,000 - 700,000; Full time

Job summary

ittihad medical centre in Hong Kong is seeking a Machine Learning Engineer to develop and optimize large-scale ML models impacting trading strategies. You'll work closely with researchers and engineers, utilizing GPU acceleration and open-source tools to create efficient solutions.

This role requires expertise in Python, CUDA, and experience with real-time ML pipelines. Join us to shape the technology and trading capabilities of IMC!

Qualifications

• 3+ years of experience in machine learning with a focus on training or inference systems.
• Hands-on experience with real-time, low-latency ML pipelines in high-performance environments.
• Strong engineering skills, proficiency in Python, CUDA, or C++.

Responsibilities

• Develop large-scale distributed training pipelines to manage datasets and complex models.
• Build and optimize low-latency inference pipelines to ensure real-time predictions.
• Collaborate with quantitative researchers to automate ML experiments and hyperparameter tuning.

Skills

Machine Learning

Python

CUDA

C++

Distributed Training

Real-time ML Pipelines

Tools

PyTorch

TensorFlow

JAX

CuDNN

TensorRT

Job description

ittihad medical centre in Hong Kong is seeking a Machine Learning Engineer to develop and optimize large-scale ML models impacting trading strategies. You'll work closely with researchers and engineers, utilizing GPU acceleration and open-source tools to create efficient solutions.

This role requires expertise in Python, CUDA, and experience with real-time ML pipelines. Join us to shape the technology and trading capabilities of IMC!