Lead GenAI & Multi-Agent Data Scientist

XCELLINK PTE. LTD.

Singapore

On-site

SGD 79,000 - 95,000

Full time

6 days ago
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Job summary

Xcellink Pte. Ltd. is seeking an experienced data/AI engineer in Singapore to design scalable Agentic AI systems and develop robust Big Data analytics models for diverse business needs.

The role requires 5+ years hands-on Data Science experience, strong GenAI/Agentic AI skills, and proven work with cloud environments and Big Data tools. You will lead collaborations with partners and research institutions to advance analytics capabilities.

Qualifications

  • Requires a bachelor’s degree in Engineering, Information Systems, Computer Science, Analytics or related fields with at least 5 years in Big Data analytics OR a Master’s/PhD in CS or related disciplines.
  • Minimum 5 years hands-on experience in Data Science.
  • Hands-on experience with Cloud Environments.
  • Hands-on experience with Big Data tools.
  • Hands-on experience with Gen AI / Agentic AI.

Responsibilities

  • Design scalable Agentic AI systems using multi-agent architectures.
  • Develop Big Data analytics models for various business needs.
  • Build, test and improve AI/ML, GenAI and agentic solutions.
  • Ensure analytical models are scalable, accurate and aligned with industry standards.
  • Understand stakeholder requirements and recommend suitable analytical approaches.
  • Develop innovative algorithms to strengthen Big Data capabilities.
  • Lead technical collaborations with industry partners and research institutions.

Skills

GenAI
Big Data
Cloud
Data Science
Agentic AI

Education

Bachelor's degree in Engineering/CS/Analytics
Master's/PhD in CS or related

Tools

Hadoop
Spark
Cloud Platforms

Job description

Xcellink Pte. Ltd. is seeking an experienced data/AI engineer in Singapore to design scalable Agentic AI systems and develop robust Big Data analytics models for diverse business needs.

The role requires 5+ years hands-on Data Science experience, strong GenAI/Agentic AI skills, and proven work with cloud environments and Big Data tools. You will lead collaborations with partners and research institutions to advance analytics capabilities.

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