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Generative AI Data Scientist – Aerospace & MRO (AWS)
Job summary
A leading staffing firm in Singapore is seeking a Generative AI Data Scientist to design and deploy innovative AI solutions on AWS. The ideal candidate will have at least 3 years of experience in data science, especially within the aerospace sector. This role involves developing predictive models and collaborating with various teams to enhance operational efficiency. Competitive compensation and growth opportunities are offered.
Qualifications
- 3+ years of experience in data science, preferably in aerospace or manufacturing.
- Solid understanding of AI/ML trends to improve operational efficiency.
Responsibilities
- Design, build, and deploy Generative AI solutions on AWS.
- Provide L2/L3 support for Generative AI solutions.
- Develop predictive models for failure forecasting and inventory planning.
- Collaborate with engineering and supply chain teams.
Skills
Education
Tools
Design, build, and deploy Generative AI solutions on AWS to solve complex aerospace and manufacturing challenges.
Provide L2/L3 level support for Generative AI solutions in production environments.
Develop predictive models for failure forecasting, quality assurance, and inventory planning.
Collaborate with engineering, supply chain, and MRO teams to embed data-driven decision-making across the organization.
Stay updated with the latest AI/ML trends and leverage them to improve operational efficiency and innovation.
Required Qualifications:
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related fields.
Proficiency in AWS services, especially Bedrock and SageMaker AI.
At least 3 years of experience in data science, preferably in aerospace or manufacturing.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.