Hybrid ML Engineer: 3D Vision & Sofa Modeling

Comfort Works; Kuala Lumpur; Hybrid; MYR 80,000 - 120,000; Full time

Job summary

A leading home furnishings brand in Kuala Lumpur is seeking a Machine Learning Developer to create advanced systems that identify furniture from images. You will design and train machine learning models using Python and PyTorch, and contribute to an innovative ML strategy. The ideal candidate has at least 3 years of coding experience and a strong background in deep learning and cloud services. This role offers a competitive salary and a hybrid working arrangement, combining office and remote work.

Benefits

Competitive Base Salary

Hybrid working arrangements

Strong career progression

Casual Working Environment

Parking Allowance

Company Laptop

Qualifications

• Minimum of 3 years of experience in developing production-ready code.
• Expert-level proficiency in PyTorch and experience with transformers.
• Proven experience with cloud-based ML services.

Responsibilities

• Collaborate in developing machine learning strategy for product identification.
• Design and train machine learning models using Python and PyTorch.
• Utilize WebGL to create training image datasets.

Skills

Deep Learning & Math

Framework Proficiency in PyTorch

Cloud Experience

Excellent communication skills

Coding Experience

API Integration expertise

Tools

Python

PyTorch

Node.js

Go

Rust

Google AutoML

Azure ML Studio

Amazon SageMaker

Job description

A leading home furnishings brand in Kuala Lumpur is seeking a Machine Learning Developer to create advanced systems that identify furniture from images. You will design and train machine learning models using Python and PyTorch, and contribute to an innovative ML strategy. The ideal candidate has at least 3 years of coding experience and a strong background in deep learning and cloud services. This role offers a competitive salary and a hybrid working arrangement, combining office and remote work.