Senior AI & MLOps Engineer

HTC SOFTWARE SINGAPORE PTE LTD; Singapore; On-site; SGD 100,000 - 125,000; Full time

Job summary

A leading technology firm in Singapore is seeking a Senior AI and MLOps Engineer focused on building and integrating Generative AI and MLOps solutions into enterprise environments. Responsibilities include developing automation scripts, ensuring seamless deployment between cloud and on-premises environments, and integrating AI models using containerization. Candidates should possess a Bachelor's degree and over 9 years of experience in MLOps and DevOps. Strong skills in Python, OpenShift, and cloud platforms are essential for this role.

Qualifications

• Bachelor's degree relevant in the areas of Computer Science, Engineering.
• 9+ years of experience in MLOps and DevOps CI/CD integrations.
• Hands-on experience with OpenShift, Docker, and Kubernetes.

Responsibilities

• Develop and maintain automation scripts using various tools.
• Ensure smooth deployment between cloud and on-premises environments.
• Integrate AI models into production environments.

Skills

Automation scripting using Linux shell scripting

Python

MLOps

DevOps

Containerization (OpenShift, Docker)

Cloud platforms (AWS)

Network security protocols

API integration

Logging and Monitoring tools

Generative AI concepts

Observability framework

Education

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

Tools

OpenShift

Docker

Kubernetes

Splunk

Elastic Stack

Grafana

Langfuse

Ctrl-M

OpenTelemetry

Job description

Job Description & Requirements

This Senior AI and MLOps Engineer role focuses on building and integrating Generative AI Ops 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, LLM and MLOps, DevOps 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.
• 9+ years of experience in MLOps, DevOps CI/CD integration, and LLM and AI system operations.
• 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 Ops 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.