
Principal AI Engineer
- Singapore
- Permanent
- Full-time
- Support the Head of Global Digital Manufacturing to set AI scaling pace/ draw implication on requirement for digital talent and data/cloud infrastructure enablement and to operationalize solution partnership model
- Set technical standards and best practices: operationalize scalable AI / Gen-AI platforms and leverage ML engineering best practice for optimal model performance
- Lead the design and implementation of AI solutions and agents, including machine learning / Gen-AI models, and draw implications on data/ cloud infrastructure
- Collaborate closely with GFIT and Manufacturing Data Governance team to develop data and analytics solution architecture based on purpose and performance.
- Lead cross-functional work including data scientists, software engineer, platform engineer and /or platform vendors to deliver high-quality AI solutions
- Stay abreast of the latest AI advancements, drive innovation and AI knowledge sharing
- Lead team of data scientists, including managing workloads, creating, and implementing common modeling standards and practices, and providing mentorship, support, and expertise.
- Lead technical and analytics capability building within the digital manufacturing team to stay current on best practices and new model techniques.
- Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs.
- Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Operation Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, or a related Engineering degree
- A minimum of 8 years of experience in analytics space with proven track record of innovation as a forerunner with at least 4+ years of experience in technical team leadership
- Deep expertise in various AI techniques, machine learning frameworks, LLM and model deployment strategies
- Extensive experience with cloud platforms (AWS, Azure, Google Cloud) for building and deploying AI solutions
- Deep understanding of data pipelines, data warehousing, and data quality principles
- Strong communication skills to interact with both technical and non-technical audiences
- Proven leadership skills to coach and guide team members to ensure on-time excellence
- Product mindset with significant experience working in Agile teams
- Ability to build a sense of trust and rapport within the team and senior leadership
- Flexibility and ability to work with ambiguous problems and unstructured data
- Master’s in data science, computer science or other quantitative field.