NLP ENGINEER ($3800-$4800/AWS/VB)ref: KT

$4800 + AWS + VB + allowance

5 working days, Mon – Fri, normal office hours

Location: Central

Responsibilities

• Work closely with domain experts to understand data sources, formats and structure.
• Collaborate with Machine Learning Engineers and MLOps Engineers to understand data requirements for LLM training and inference.
• Engage in data engineering tasks, including data collection, preprocessing, quality control and augmentation to ensure high-quality datasets for model training.
• Develop from scratch and fine-tune both traditional NLP and LLM models on LTS cloud infrastructure, optimizing for safety and performance (measurable via benchmarks)
• Collaborate with domain experts and carry out independent research to optimise and develop product evaluation suites to measure model and product performance.
• Explore and implement techniques for mitigating bias and ensuring fairness within the training data for the LLM.
• Lead in the development and implementation of strategies for data augmentation improve LLM performance.
• Collaborate with AI and MLOps Engineers to integrate NLP models into automated pipelines.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Minimum 3 years of relevant experience.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Excellent communication and interpersonal skills

Competitive remuneration package will be offered to the shortlisted candidate.

Interested candidates, please send your updated CV in MS Words format stating your last drawn salary, expected salary, notice period and reason for leaving last / past employment(s) and email to recruit@caed.com.sg for priority processing.

To find out more job opportunities, visit Career Edge Asia at www.caed.com.sg for all job listings.

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To find out more job opportunities, visit Career Edge Asia at www.caed.com.sg for all job listings.
Email: recruit@caed.com.sg

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