Senior NLP Machine Learning Engineer

2 months ago


Singapore Hays Full time

Your new role

We are seeking an NLP engineer with a minimum of 2 years of experience in NLP solution development, with a strong focus on design, development, and deployment.

Your responsibilities will include:

  • Developing Gen AI solutions using ML frameworks such as TensorFlow and PyTorch.
  • Designing and deploying NLP solutions, participating in code reviews, and contributing to architecture discussions.
  • The ideal candidate will have expertise in statistical analysis, deep learning, LLMs, generative AI methods, and text representation techniques, as well as strong communication skills and a dedication to delivering high-quality projects.
  • Support R&D project & development, implement ,machine learning models

What you'll need to succeed

  • PHD holder/ Bachelor's or Master's degree in Computer Science, AI/Machine Learning, or a related field.
  • Minimum 2 years of experience in AI, Machine Learning
  • Strong understanding of NLP fundamentals, algorithms, and techniques.
  • Proficiency in Python and NLP libraries (e.g., NLTK, spaCy, Gensim, LangGraph, LlamaIndex).
  • Expertise in GenAI frameworks (e.g., LangChain, LlamaIndex, LlamaFactory).
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face.
  • Experience with NLP tasks like text classification, named entity recognition, sentiment analysis, or question answering.

What you'll get in return

In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or email Jessica.wong@hays.com.sg for a confidential discussion on your career. Referrals are welcome.

If this job isn't quite right for you, but you are looking for a new position within Cloud & DevOps, AI & Machine Learning, please contact us as well.

EA Reg Number: R1988154

EA License Number: 07C3924 | Company Registration No: 200609504D



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