Join in developing and applying the ML/DL techniques to resolve our client’s business problems such as building chatbot systems, LLM/Prompt, fraud detection systems, facial recognition systems…
Join in developing some internal products applying AI models
Participate in building applications and agents running on large language models (LLMs), including but not limited to GPT-3.5, GPT-4, Anthropic Claude, Google Vertex AI
Be responsible as a Generative AI Developer for keeping up to date on state-of-the-art methods as they become published and invented
Develop novel methods and processes to enable autonomous AI
Be able to rapidly develop production ready professional Python code to implement new capabilities every week

Bachelor’s degree in Science, Computer Science, Mathematics, Statistics or Economics from a top Vietnamese or Foreign university
Be familiar with these programming languages: Python, Javascript,...
Be experienced in one of these backend web frameworks (Flask, Django, FastAPI)
At least 2 years of experience working with AI/ML projects as a Data Engineer, Research Engineer, or Software Engineer.
Prefer commercial or published experience in NLP solutions, whether it is conversational AI, information extraction, text summarization, text completion, or sentiment analysis.
Be experienced in some of the following tools in the NLP stack: LangChain, vector embeddings, NLTK, GPT-3, gpt-4, ChatGPT, Claude, LLaMA, spaCy, Stanford CoreNLP, word2vec, glove, GPT-2, LaMDA, Alpaca, fastText, Google BERT, gensim.
Be familiar with the scientific Python stack: numpy, matplotlib/seaborn, pandas, scikit learn, Jupyter notebook, etc.
Have experience with one of these chatbot building frameworks or services like Rasa, Spacy, Dialog Flow, Transformer, BERT, LLM/Prompt…
Up-to-date Knowledge: Must be current with the latest technologies, frameworks, and news in LLM and AI

Nice to have:

Be experienced in SQL database (PostgresQL, MySQL) and NoSQL database (MongoDB).
Be familiar with building APIs and services using REST, SOAP, etc
Experience in MLOps system: MLflow, DVC, Feature Store, Vector Database, Airflow, CI/CD…
Experience with Cloud AI Services: Azure, AWS, GCP...