AI Programmer

Developer Machine Learning NLP Artificial Intelligence Algorithm

Mức lương

$700 - 1.400

Khu vực

Hanoi

Tổng quan về công việc và trách nhiệm

Research trends and develop AI applications (especially Generative AI) for Banking and Finance and other fields Upgrade the quality of your company's AI applications Use technology to organize and maintain data in the database, develop data architecture strategy according to the Company's data model Manage and exploit data and reporting systems

Kỹ năng và kinh nghiệm tối thiểu

- More than 3 years of experience in developing and implementing projects in the field of Machine Learning, Natural Language Processing (NLP). - Proficient in using technology and tools in LLM such as LangChain, LlamaIndex, Vector DB, RAG, Graph RAG, Model Finetuning. - Experienced in systems such as Recommender System, Chatbot, Chatbot-Agent. - Experienced in working with Generative AI models such as LLM (GPT-4 (required), Gemini, Mistral, Llama2, Llama3 etc.) - Good understanding of architecture, proficient in implementing NLP models such as Transformer, BERT, LLM, ... - Extensive and in-depth knowledge of algorithms, NLP models, ability to read and apply scientific articles in English. - Creative problem solving, communication skills to connect with people.

Tại sao ứng viên nên làm ở đây

– 13th month salary bonus, Tet bonus from 1-5 months salary – Review salary at least once a year. - Create conditions for learning and improving knowledge. – Regular health check-ups, annual teambuilding. – Social insurance, health insurance, unemployment insurance according to current law. – Be challenged in big projects, have the opportunity to affirm your ability and develop your career. – Friendly, dynamic and creative working environment.

Ưu tiên có kỹ năng và kinh nghiệm

- Have worked with banking domain - Have experience deploying on cloud platforms such as AWS (Sagemaker, Bedrock) or Google Cloud Platform (GCP) or Microsoft Azure - Have experience working in Data Science (DS). - Experience building end-to-end Machine Learning pipeline. - Understand and have experience in the software development life cycle.