Junior ML Ops Engineer: Deploy & Scale AI in Production

Wizpresso 濃說; Hong Kong; On-site; HKD 300,000 - 450,000; Full time

Job summary

A technology firm in Hong Kong is seeking a highly motivated Junior Machine Learning Operations Engineer to optimize and maintain machine learning systems. You will work closely with data scientists and engineers, deploying models into production and ensuring integration with existing systems. Ideal candidates hold a degree in computer science or engineering and possess skills in Python and machine learning frameworks like TensorFlow and PyTorch. This role is perfect for those passionate about transforming technology in a dynamic team environment.

Qualifications

• Strong understanding of machine learning techniques.
• Experience with continuous integration and deployment pipelines.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.

Responsibilities

• Deploy machine learning models into production environments.
• Maintain and optimize machine learning systems.
• Collaborate with cross-functional teams for scalable solutions.

Skills

Machine learning concepts

Python

R

Problem-solving

Communication

Collaboration

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

TensorFlow

PyTorch

Git

Docker

Kubernetes

Job description

A technology firm in Hong Kong is seeking a highly motivated Junior Machine Learning Operations Engineer to optimize and maintain machine learning systems. You will work closely with data scientists and engineers, deploying models into production and ensuring integration with existing systems. Ideal candidates hold a degree in computer science or engineering and possess skills in Python and machine learning frameworks like TensorFlow and PyTorch. This role is perfect for those passionate about transforming technology in a dynamic team environment.