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

IMC B.V.; Hong Kong; On-site; HKD 400,000 - 600,000; Full time

Job summary

IMC B.V. in Hong Kong is seeking a Machine Learning Engineer to develop large-scale systems for training and deploying ML models. The role involves optimizing ML pipelines for real-time predictions and collaborating with researchers and engineers to enhance trading strategies.

The ideal candidate will have 3+ years of experience in machine learning and strong skills in Python and GPU programming. This position offers the opportunity to impact technology and trading capabilities at 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 is a strong plus.
• Strong engineering skills in Python, CUDA, or C++.

Responsibilities

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

Skills

Machine learning

Python

CUDA

C++

GPU programming

PyTorch

TensorFlow

JAX

Distributed training

Job description

IMC B.V. in Hong Kong is seeking a Machine Learning Engineer to develop large-scale systems for training and deploying ML models. The role involves optimizing ML pipelines for real-time predictions and collaborating with researchers and engineers to enhance trading strategies.

The ideal candidate will have 3+ years of experience in machine learning and strong skills in Python and GPU programming. This position offers the opportunity to impact technology and trading capabilities at IMC.