AI/ML Platform Engineer - Scalable Data & DevOps

ConnectedGroup Limited; Hong Kong; On-site; HKD 600,000 - 1,000,000; Full time

Job summary

ConnectedGroup Limited is seeking an AI/ML Platform Engineer (DevOps) to build and operate next‑generation AI/ML platforms. You will ensure security, high performance, and reliability while integrating solutions that align with business goals.

You will work with data scientists and stakeholders to deploy analytics and ML models, design scalable services, and contribute to a robust CD pipeline using tools like Kubernetes, Terraform, and Grafana.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• At least 3 years of experience in AI/ML platform development and DevOps engineer roles.
• Strong software engineering and system design background.
• Hands-on programming experience in Python.

Responsibilities

• Contribute to development of AI/ML platforms, including monitoring, logging, and deployment of applications.
• Design and develop services, and integrate with internal and external APIs.
• Identify and assess technologies to improve infrastructure performance and scalability.
• Deliver visibility into architecture, state, and performance of the AI/ML platform.
• Collaborate with Architects, Platform Engineers, and Product Owners in a CD environment.
• Partner with data scientists and stakeholders to support analytics and ML deployment.

Skills

Python

DevOps

Docker

Kubernetes

Terraform

Grafana

Prometheus

Jenkins

Git

Ansible

Nexus

Harbor

MLflow

Ray

vLLM

Jupyter

jMeter

JUnit

PyTest

Education

Bachelor’s degree in Computer Science, Software Engineering, or a related field

Tools

AWS

Azure

AliCloud

Docker

Terraform

Kubernetes

Grafana

Loki

Prometheus

Jupyter

MLflow

Ray

vLLM

Jenkins

JIRA

Sonar

Git

Ansible

Nexus

Harbor

Job description

ConnectedGroup Limited is seeking an AI/ML Platform Engineer (DevOps) to build and operate next‑generation AI/ML platforms. You will ensure security, high performance, and reliability while integrating solutions that align with business goals.

You will work with data scientists and stakeholders to deploy analytics and ML models, design scalable services, and contribute to a robust CD pipeline using tools like Kubernetes, Terraform, and Grafana.