Software Engineer - AI

Role and Responsibilities 1. [Finding areas to apply machine learning technology] Analyze data collected while using software in actual situation, measuring/inspecting process and etc. and analyze the possibility and effect of applying machine learning technology. 2. [Collecting and managing training data] Perform collecting and managing effective data used for training machine learning algorithm. 3. [Developing data pre-processing algorithm] Apply the features of collected data well and implement pre-processing algorithm that eases unnecessary complexity. 4. [Developing modeling and pattern recognition algorithm] Implement suitable machine learning model or algorithm in accordance with the purpose of application that users want. 5. [Developing performance evaluation measures] Write and perform measures on performance evaluation to evaluate and maintain the effectiveness of developed application. 6. [Securing and managing large-scale computing resources] Participate in managing computing server to use algorithm that requires massive computing resources such as deep learning and massive data. Skills and Qualifications • Bachelor's degree in mathematics, Computer Science, Software Engineering or related discipline, or having equivalent work experiences is required, from Reputable Universities • 2+ years of experience in ML, NLP, or AI engineering, ideally with hands-on LLM experience • Strong programming skills in Python, TensorFlow, or PyTorch. • Experience with data analysis, biz insight report, model training, and evaluation. • Strong in Algorithms, problem-solving, data structures Preferred : • Familiarity with MLOps practices and tools, including Azure infrastructure and Databricks for MLOps and AI capabilities. • Familiar with On-device model development • Familiar with deep learning-based recommendation systems. • Have experience in speech recognition and speech generation.