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We are looking for a passionate NLP enthusiast who will be leading the Data Science division and core development of our AI Platform that will ideate products of the future. As the lead Data Scientist, you will be working hand in hand with the CTO on the toughest and most challenging problems in NLP handling multiple Asian languages and context identification using public data that includes social media. You will get the opportunity to work on Generative text algorithms and add feathers of patents and trade secrets to your cap.
- Work with the millions of public data points to identify trends and gather insights.
- Leverage the power of Generative text algorithms to create new product concepts.
- Iterative improvements to the existing features as well as development of new features.
- Work closely with the Platform Engineering Team to deploy the AI models.
- Build & grow your own data science team
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering or related fields.
- Prior experience of 3+ years in industrial data science related to NLP
- Familiarity with one or more of the open source NLP frameworks (NLTK, SpaCy, ELMo, BERT, ULMFiT, ERNIE)
- Significant previous hands-on experience with machine learning frameworks such as Tensorflow, Keras, PyTorch.
- Proficiency in Python programming in accordance with Software
- Development standards, including version control (git) and managing production codebase.
- Own what you do with access to our Employee Share Options Pool (ESOP)
- Look after yourself with health insurance including Hospital/Surgical, Major Medical and Outpatient
- Learn new skills with sponsored training on Coursera
- Expand your knowledge with sponsored annual library membership
- Flexible work hours: Early birds and midnight-oil-burners rejoice!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Preferred Department(s) :
Engineering, Science, Computing
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