Senior Director, AI Solutions Engineer

WPP MEDIA ASIA PACIFIC HOLDINGS PTE. LTD.

Singapore, Singapore
**
5+ years software engineering experience
2+ years ml/nlp deployment in production
Python java c++ or go coding skills
** WPP Media is seeking a Senior Director, AI Solutions Engineer in Singapore to lead AI transformation efforts for major global clients. The role requires extensive technical expertise in machine learning, software engineering, and cloud services, with a focus on delivering innovative AI-driven solutions. **

Job Summary

  • The team is dedicated to charting the course for AI transformation across APAC by delivering demonstrable proof of AI-enabled marketing improvements.
  • This highly technical role bridges the gap between fragile prototypes and scalable, secure enterprise-grade production infrastructures.
  • Employees benefit from a comprehensive package including competitive medical insurance, significant paid time off, and an inclusive hybrid work culture.

Matching Summary

Match Score: 75

** WPP Media is seeking a Senior Director, AI Solutions Engineer in Singapore to lead AI transformation efforts for major global clients. The role requires extensive technical expertise in machine learning, software engineering, and cloud services, with a focus on delivering innovative AI-driven solutions. **

Skills & Requirements

Must-have

  • 5+ years software engineering experience
  • 2+ years ML/NLP deployment in production
  • Python Java C++ or Go coding skills
  • TensorFlow Keras PyTorch debugging expertise
  • Google Cloud Platform Kubernetes experience
  • Vertex AI model deployment proficiency
  • RAG architecture and data pipeline engineering

Nice-to-have

  • Experience with WPP Open platform
  • Ability to thrive under live campaign pressure
  • Strong understanding of data privacy regulations
  • Cross-functional collaboration in agile teams
  • Containerization and microservices knowledge

Key Requirements

  • Minimum 5 years applied software engineering experience
  • At least 2 years deploying ML or NLP applications commercially
  • Deep academic understanding of data structures and algorithms
  • Hands-on troubleshooting of advanced machine learning frameworks
  • Extensive operational experience with GCP components

Work Rights

Not specified

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