Senior AI ML Integration Engineer

HTC SOFTWARE SINGAPORE PTE LTD; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading software company in Singapore is seeking a Senior ML / Integration Engineer to build and integrate AI solutions into enterprise environments. The role requires extensive experience in Machine Learning engineering, cloud platforms like AWS, and container orchestration tools such as OpenShift and Kubernetes. Candidates must possess strong scripting skills in Linux and Python, and knowledge of network security protocols. This position offers an opportunity to work with cross-functional teams to optimize AI pipelines and infrastructure.

Qualifications

• 7+ years of experience in Machine Learning engineering or AI system integration.
• Hands-on experience with containerized platforms.
• Knowledge of API integration and microservices architecture.

Responsibilities

• Develop and maintain automation scripts for AI pipelines.
• Ensure integration between cloud and on-prem environments.
• Monitor and optimize system performance.

Skills

Linux shell scripting

Python

Cloud platforms (AWS)

OpenShift

Docker

Kubernetes

Network security protocols

Education

Bachelor’s degree in Computer Science or related field

Tools

Bash

API integration

Workflow Orchestrator (e.g., Ctrl-M)

Logging and Monitoring tools (e.g., Splunk, Geneos)

Observability frameworks (e.g., Grafana, Elastic Stack)

Job description

Job Description & Requirements

This Senior ML / Integration Engineer role focuses on building and integrating Generative AI and Agentic AI solutions into enterprise environments. You will work closely with data scientists, architects, and DevOps teams to design, implement, and optimize AI pipelines and infrastructure.

Key Responsibilities

• Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.
• Ensure seamless deployment and integration between cloud/prem environments (AWS).
• Integrate AI models into production environments using containerized platforms such as OpenShift.
• Implement and maintain network security protocols to safeguard AI systems and data pipelines.
• Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.
• Monitor and optimize system performance, reliability, and scalability.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in Machine Learning engineering or AI system integration.
• Bash and Unix/Linux command-line toolkit is a must-have.
• Hands-on experience with OpenShift, Docker, Kubernetes.
• Knowledge of cloud platforms (e.g. AWS) is a must-have.
• Exposure to data and network security and compliance in AI systems.
• Knowledge of API integration and microservices architecture.
• Proficiency in Python used both for automation and ML-related tasks
• Knowledge of Workflow Orchestrator, such as Ctrl-M
• Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.

Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.