Manager, Ai Engineer

AIA Group

**
Mlops pipeline design and implementation
Ci-cd pipeline integration for ml models
Machine learning model optimization and testing
** AIA Group is seeking a Manager, AI Engineer to develop and maintain robust MLOps pipelines that ensure the reliable deployment of machine learning models. This role requires a blend of technical expertise in AI and a collaborative approach to integrate these solutions into enterprise systems, while contributing to the company’s mission of promoting healthier lives. **

Job Summary

  • The role is responsible for designing, implementing, and maintaining robust MLOps pipelines to enable scalable, secure, and reliable deployment of machine learning models in production.
  • This position bridges the gap between data science and engineering, ensuring seamless integration of AI solutions into enterprise systems while driving operational excellence.
  • Candidates will act as a bridge between data scientists and IT teams during development, production architecture design, and setup to support the company's mission of healthier lives.

Matching Summary

Match Score: 75

** AIA Group is seeking a Manager, AI Engineer to develop and maintain robust MLOps pipelines that ensure the reliable deployment of machine learning models. This role requires a blend of technical expertise in AI and a collaborative approach to integrate these solutions into enterprise systems, while contributing to the company’s mission of promoting healthier lives. **

Skills & Requirements

Must-have

  • MLOps pipeline design and implementation
  • CI-CD pipeline integration for ML models
  • Machine learning model optimization and testing
  • Production architecture design for AI/ML
  • Cross-functional collaboration with data scientists

Nice-to-have

  • Passion for sustainable digital change
  • Experience in healthcare technology domain
  • Ability to drive operational excellence
  • Strong communication skills for bridge roles

Key Requirements

  • Expertise in MLOps tools and operating models
  • Experience refactoring code into CI-CD pipelines
  • Background in technical architecture for AI/ML
  • Proven ability to monitor and retrain models

Work Rights

Not specified

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