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Manager, Ai
3 weeks ago
**Location**:
Singapore, SG, 569874
Job Requisition ID: 4920
Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.
**Your Key Responsibilities**:
- Drive the evolution of digital service and solution with an impact focused on data science solutions and AI activities supporting both AP IT & Digitalisation and SHARE at NTU
- Lead the development of data analytics infrastructure and build the service platform.
- Work closely with product manager and group IT to ensure Schaeffler's digital solution technology roadmaps are aligned to incorporate new data analytics solutions as appropriate to support the overall strategy and technology direction.
- Support organization building activities in recruiting and training.
- Attend trade shows and industry meetings; stay abreast of evolving data solution trends both inside and outside Schaeffler market space.
- To lead our research activities, solve challenging problems from the manufacturing process with AI, and present visions toward future AI research of our team.
- To participate and lead AI research collaborations with other R&D organisations in Asia-Pacific.
- Work closely with AP CIO and the Director for SHARE at NTU on R&D activities as well as translate to Digital business and solutions for Schaeffler.
- To achieve the state-of-the-art methodologies in the fields below, but not limited to:
- Anomaly Detection based on learning theories(Semi/Self/Un-supervised learning)
- (2D/3D) Human Pose estimation, Behaviour classification, Abnormal behaviour detection, Person Re-identification
- Online/Continual Learning, Lifelong Machine Learning
- Multivariate data analytics (Recurrent neural network, pattern recognition)
**Your Qualifications**:
- Minimum of Bachelor, in Computer Science, Software Engineering, Electrical Engineering or related field related to artificial intelligence, machine learning, data science, or computational analysis or equivalent. Master's or Ph.D in this field will be of advantage
- Minimum of 5-8 years relevant industry experience in AI/ML research is preferred
- Proficiency in English is required
- Comfortable with research methodologies to address abstract business and production problems with extreme precision; able to gain data-driven insight and support business to move forward.
- Expert knowledge in core data science modeling, familiarize with common machine learning methods, e.g., clustering, classification, regression, etc., experience in training and deploying models in production is a plus.
- Expertise in architecting data solutions with the latest hardware and software engineering competencies, with focuses on cloud based data warehouse architecture and technologies, BI tools, and cloud capabilities.
- Travel will be required to interface with global customers and sales channel. Travel will also be required to interface with global engineering, systems, and product development teams.
**Your contact**
Schaeffler (Singapore)
Li Pin Leow
+6565408632
Keywords: Information Technology & Digitalization;