Senior AI Platform Lead: ML Systems & MLOps

hewlett packard enterprise singapore pte. ltd.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Hewlett Packard Enterprise Singapore Pte. Ltd. is seeking an experienced Lead AI Engineer to guide the design, development, and deployment of AI/ML powered applications on Kubernetes-based infrastructure.

You will mentor a team of AI/ML engineers, define best practices, and drive scalable, production-grade AI solutions aligned with business goals. Strong expertise in MLOps, cloud platforms, and observability is required.

Qualifications

• Bachelor's or Master's degree in CS, Engineering, AI/ML, or related field.
• 8–10 years hands-on software engineering with AI/ML deployment
• Kubernetes: orchestration, Helm, pod management, scaling, troubleshooting
• MLOps/AIOps tools: MLflow, Kubeflow, Airflow, model registries, monitoring
• Cloud platforms: Azure, AWS, or GCP and their AI services
• Strong Python programming; FastAPI/Flask familiarity
• CI/CD pipelines and GitOps with Docker, Jenkins, or GitHub Actions
• Lead and mentor development teams; deliver results
• GenAI frameworks (LangChain) and vector databases
• Observability/monitoring: Prometheus, Grafana, OpenTelemetry
• AI security, responsible AI, governance frameworks

Responsibilities

• Design, develop, and deploy AI/ML applications, microservices, and APIs on Kubernetes-based infrastructure.
• Build end-to-end AI/ML pipelines with deployment, monitoring, versioning, and CI/CD.
• Lead and mentor AI/ML engineers; conduct code reviews and establish best practices.
• Evaluate emerging AI tools, LangChain, GenAI frameworks, and vector databases.
• Collaborate with Analysts, Architects, and teams to align AI work with business goals and security.
• Create and maintain technical docs, deployment runbooks, and SOPs

Skills

AI/ML development

Kubernetes

Python

MLOps

CI/CD

Cloud platforms

Leadership

GenAI frameworks

Observability

AI governance

Education

Bachelor's/Master's in CS/Engineering/AI

Tools

Kubectl

Helm

MLflow

Kubeflow

Airflow

Prometheus

Grafana

OpenTelemetry

GitHub Actions

Docker

Job description

Hewlett Packard Enterprise Singapore Pte. Ltd. is seeking an experienced Lead AI Engineer to guide the design, development, and deployment of AI/ML powered applications on Kubernetes-based infrastructure.

You will mentor a team of AI/ML engineers, define best practices, and drive scalable, production-grade AI solutions aligned with business goals. Strong expertise in MLOps, cloud platforms, and observability is required.