About this role
Lead the design, development, and deployment of scalable AI/ML-powered applications and microservices on Kubernetes infrastructure. Mentor a team of engineers while establishing MLOps pipelines and aligning technical efforts with business objectives.
Requires 8-10 years of software engineering experience with deep expertise in Kubernetes, MLOps tools, and cloud platforms. A Bachelor's or Master's degree in Computer Science or a related AI/ML field is required.
What they're looking for
KubernetesMLOpsAIOpsPythonGenAILangChainVector DatabasesCI/CD
Frequently asked questions
What does a Lead AI Engineer at Hewlett Packard Enterprise do?
Lead the design, development, and deployment of scalable AI/ML-powered applications and microservices on Kubernetes infrastructure. Mentor a team of engineers while establishing MLOps pipelines and aligning technical efforts with business objectives. Requires 8-10 years of software engineering exper…
What skills does this Lead AI Engineer role need?
Key skills for this role include Kubernetes, MLOps, AIOps, Python, GenAI, LangChain.
How much does a Lead AI Engineer at Hewlett Packard Enterprise pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Lead AI Engineer role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Lead AI Engineer role?
You can apply directly on Hewlett Packard Enterprise's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.