The candidate will be joining AiChat Pte Ltd as an AI engineer. In this role, you will
contribute to the development of innovative products and make a significant impact in the
industry. Fresh graduates are welcome to apply (expectations will be adjusted accordingly).
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 (NER, sentiment analysis) and Natural Language Generation.
- 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.
- Experienced in NLP libraries e.g. NLTK, genism, spaCy
- Good knowledge in the following techniques and libraries: regex, SQL, sci-kit-learn, NumPy, pandas
- 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: Basic git commands, 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 fields
- If without such paper qualifications, the onus is on you to demonstrate your quantitative abilities