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Lead Data Scientist – Generative AI

1 month ago

Singapore AMBITION GROUP SINGAPORE PTE. LTD. Full time
Roles & Responsibilities

The Role:
In the client’s Data Science Center of Excellence, you’ll play a key role in advancing their Generative AI (GenAI) Strategy by developing intelligent software solutions across AI, Data Analytics, MLOps, and Cloud. This is an opportunity to drive the next wave of innovation in adaptive self-learning technologies


Key Responsibilities:

  • Lead the design and deployment of advanced GenAI and NLP solutions, including intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other state-of-the-art generative applications.
  • Develop end-to-end ML and deep learning pipelines, from data analysis and model development to production deployment.
  • Select optimal computational tools for experimental and trial objectives in data science projects.
  • Engage with stakeholders, translating complex technical concepts into easily understood insights.
  • Contribute to and oversee project teams of data scientists and engineers, ensuring smooth execution and alignment with business goals.

Qualifications:


  • Proven experience with Generative AI, NLP, and large-scale language models (e.g., GPT-4, Claude, Gemini).
  • Proficiency in deep learning tools like TensorFlow or PyTorch, with a solid foundation in Python.
  • Advanced degree (Master's or Ph.D.) in Computer Science or a related field.
  • Skilled in the operationalization of AI solutions across cloud platforms.
  • Strong problem-solving abilities, with a clear, impactful communication style.
  • Upper-intermediate or higher level of English proficiency.


Why Join This Client?

  • Collaborate within a multidisciplinary team of Data Scientists, ML Engineers, and DevOps experts.
  • Work on high-impact, international projects for leading global clients.
  • Access to ongoing education, certification programs, and international events in the latest AI technologies.

Tell employers what skills you have

TensorFlow
Machine Learning
Adaptive
Data Analysis
Big Data
Pipelines
Mathematics
Translating
Strategy
NLP
PyTorch
SQL
Python
Statistics
Data Science
Data Analytics
Databases