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Senior Research Engineer II

1 week ago

Singapore NTU (Nanyang Technology University- Main Office-HR) Full time
About the Job

Under the Air Traffic Management Research Institute (ATMRI) at Nanyang Technological University, you will join a research team to explore the application of Artificial Intelligence and Data Analytics in Air Traffic Management Systems.

Job Summary

The Senior Research Engineer will lead the development of prototypes and optimization of data engineering and AI solutions for innovative research projects. Key responsibilities include managing distributed data systems, driving IoT implementations, and ensuring successful collaboration with stakeholders.

Key Responsibilities:
  • Lead Design, Development, and Deployment: Develop scalable data engineering platforms and AI-driven solutions that meet project objectives.
  • Data Processing and Optimization: Manage and optimize distributed data processing systems, hybrid cloud infrastructures, and advanced analytics platforms.
  • IoT-Based Solutions: Contribute to the development and implementation of IoT-based communication solutions for projects in smart cities, healthcare, and logistics.
  • Cross-Functional Collaboration: Collaborate with cross-functional teams, including researchers and external partners, to deliver innovative technology solutions tailored to project objectives.
  • Data Security and Ethics: Ensure compliance with data security standards and promote ethical AI practices in all initiatives.
  • Client-Centric Solutions: Drive the creation of client-centric solutions and build strong relationships with internal and external stakeholders.
  • Project Documentation: Produce detailed project documentation, including technical reports, performance reviews, and strategic recommendations.
Requirements: Knowledge and Experience:
  • Data Engineering Expertise: Proven expertise in data engineering, distributed processing systems, and cloud ecosystems (AWS, Azure, Google Cloud).
  • Machine Learning Background: Strong background in machine learning, IoT frameworks, and advanced analytics tools.
  • Industry Experience: Experience in designing scalable platforms for various industries, including telecom, healthcare, and logistics.
  • Large Scale Machine Learning Models: Evidence of developing Large Scale Industrial Machine Learning and Optimization models.
Skills and Competencies:
  • Software Architecture Design: Strong skills in Software Architecture Design.
  • Programming Languages: Proficiency in programming languages such as Python, Java, and Shell scripting.
  • Cloud and Data Processing: Hands-on experience with Hadoop, Spark, Kubernetes, and messaging/streaming systems.
  • Communication and Stakeholder Management: Excellent communication and stakeholder management skills.
Qualifications:
  • Bachelor's Degree: Bachelor's degree in information technology, Computer Science, or a related field.
  • Work Experience: At least 10-15 years of relevant work experience in data engineering and analytics.
  • Technical Certifications: Technical certifications in cloud computing, data processing, or AI are an advantage.