AI/ NLP Engineer

The candidate will be joining AiChat as a NLP/ AI engineer. In this role, you will contribute to the development of innovative products and make a significant impact in the industry. 

Responsibilities

● Maintenance of AiChat’s current chatbot, evolve existing models and contribute to the development of new chatbot capabilities.

● Build on AiChat’s proprietary chatbot framework to provide customization for specific clients and scenarios.

● Develop and apply NLP techniques for Natural Language Understanding (intent recognition, NER, sentiment analysis).

● Develop Generative AI solutions for AiChat’s chatbot using Large Language Model (LLM).

● Provide NLP support for various languages besides English, e.g. Chinese, Bahasa Indonesia and other low resource languages.

● Support account managers in generating analytics insights from textual data as well as structured data.

Required Technical Skills and Qualities

● Coding experience in Python.

● Preferably with 1 to 2 years working experience in analytics, data science roles.

● Experienced in statistical modeling, Bayesian statistics or other machine learning and statistical methodologies (clustering, similarity calculation, classifiers, etc.) as well as knowledgeable about their advantages/drawbacks.

● Knowledgeable in Classical NLP: preprocessing techniques, data transformation etc.

● Solid understanding of Generative AI in NLP: Transformers, LLM Fine-tuning, Prompt Engineering, and Retrieval Augmented Generation.

● Experienced in various NLP libraries e.g. NLTK, gensim, spaCy.

● Good knowledge in the following technologies and libraries: regex, SQL, scikit-learn, numpy, pandas, HuggingFace, PyTorch.

● A creative mind and strong problem-solving skills with an emphasis on product development.

● A drive to self-learn and master new technologies and techniques.

● Articulate with excellent written and verbal communication skills.

● Able to develop and use graphs to communicate/discover patterns in data

● Rigorously documents his/her code.

● Candidates possessing any of the following technical skills will have an advantage: Git, Linux, Flask or equivalent API framework, web crawling, building a recommender system, A/B testing, marketing analytics, customer analytics.

Qualifications

● Degree/masters in Statistics, Mathematics, Computer Science, other quantitative field

● If without such paper qualifications, onus is on you to demonstrate your quantitative abilities