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Unison Group New Zealand

Singapore / Global

ML integration Engineer

Job Description

Design and implement scalable ML pipelines for Generative and Agentic AI applications

Integrate AI models into production environments using containerized platforms such as OpenShift and Kubernetes

Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions

Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools

Ensure seamless deployment and integration of AI services in cloud environments (e.g., AWS, Azure, GCP)

Implement and maintain network security protocols to safeguard AI systems and data pipelines

Monitor and optimize system performance, reliability, and scalability

Support CI/CD processes and infrastructure for AI model deployment and updates

Requirements

5+ years of experience in Machine Learning engineering or AI system integration

Hands-on experience with OpenShift, Docker, Kubernetes

Knowledge of cloud platforms (e.g. AWS, GCP) is a must-have

Exposure to data and network security and compliance in AI systems

Understanding of Generative AI and Agentic AI concepts

Experience with LLM prompt engineering, or RAG pipelines

Knowledge of API integration and microservices architecture

Proficiency in Python used both for ML and automation tasks

Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have

Knowledge of Workflow Orchestrator, such as Ctrl-M

Knowledge of Logging and Monitoring tools, such as Splunk and Geneos

Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry

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