Lead ML Integration Engineer

PEOPLE PROFILERS (SERVICES) PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading recruitment agency in Singapore is seeking a Lead ML / Integration Engineer to design and implement scalable ML pipelines for Generative and Agentic AI applications. The ideal candidate will have a minimum of 7 years of experience in Machine Learning engineering and expertise in tools like OpenShift, Docker, and Kubernetes. This role requires excellent communication skills and a strong problem-solving mindset.

Qualifications

• Minimum 7 years of experience in Machine Learning engineering or AI system integration.
• Hands-on experience with OpenShift, Docker, Kubernetes.
• Knowledge of API integration and microservices architecture.

Responsibilities

• Design and implement scalable ML pipelines for Generative and Agentic AI applications.
• Integrate AI models into production environments using containerized platforms.
• Monitor and optimize system performance, reliability, and scalability.

Skills

Generative AI

Agentic AI

Machine Learning engineering

OpenShift

Kubernetes

Python

Linux shell scripting

API integration

problem-solving

Education

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

Tools

Docker

AWS

GCP

Splunk

Grafana

Job description

This Lead 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.

Job Responsibilities:

• 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.

Job Requirements

• Minimum Bachelor’s degree in Computer Science, Engineering, or a related field.
• At least 7 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.
• Excellent communication skills
• Attention to detail
• Strong problem-solving mindset with a can-do attitude
• Strong Organizational skills
• Visual Thinking
• Empowering delegation
• Mentorship and coaching.

We regret that only shortlisted candidates will be notified.

Interested applicants kindly click on apply now or send your updated resume to [e-mail]

Berlyn Lum Miao Yu

Registration Number: R1766577

EA License Number: 02C4944

People Profilers Pte Ltd, 20 Cecil St, #08-09, PLUS Building, Singapore 049705

http://www.peopleprofilers.com