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VP, AI Engineering & Platform Transformation

NOMURA SINGAPORE LIMITED

Singapore

On-site

SGD 120,000 - 160,000

Full time

Today
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Job summary

A leading financial services firm in Singapore is seeking an experienced AI Engineering Lead to define and execute the AI engineering strategy and technical roadmap. You will lead a team of AI engineers, ensuring the successful deployment of scalable AI applications. Ideal candidates will have over 10 years in AI/ML engineering, including leadership experience, and will be proficient in modern programming languages and cloud technologies. This role offers a collaborative environment with opportunities for professional development.

Benefits

Professional development opportunities
Collaborative work environment

Qualifications

  • 10 years of experience in AI/ML engineering, including 3+ years in leadership.
  • Experience with multi-cultural, globally dispersed teams.
  • Proven experience in deploying fault-tolerant microservices.

Responsibilities

  • Define and execute AI engineering strategy and technical roadmap.
  • Lead and develop a team of AI engineers.
  • Integrate and monitor Generative AI products and solutions.

Skills

Designing AI agents using Large Language Models
Building context-aware dialogue systems
Developing APIs and SDKs for Generative AI
Deployment automation using CI/CD
Programming in Python, SQL, Unix scripting
Using cloud technologies like AWS
Collaborating with global teams
Analytical skills for problem-solving
Managing multiple AI projects
Proficiency in written and verbal communication

Education

At least a Bachelor’s degree in quantitative fields
Professional certifications in AI/ML frameworks

Tools

AWS EC2
Jenkins
GitLab
TensorFlow
Kubernetes
Job description
A leading financial services firm in Singapore is seeking an experienced AI Engineering Lead to define and execute the AI engineering strategy and technical roadmap. You will lead a team of AI engineers, ensuring the successful deployment of scalable AI applications. Ideal candidates will have over 10 years in AI/ML engineering, including leadership experience, and will be proficient in modern programming languages and cloud technologies. This role offers a collaborative environment with opportunities for professional development.
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