Position Summary
We're looking for passionate and adaptable AI Engineer to join our team. Ideal candidates should have a strong experience in ML, NLP, or AI engineering, ideally with hands-on LLM experience.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.
* Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.
* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.
Top Skills
What We Do
Samsung Electronics is a global leader in technology, opening new possibilities for people everywhere. Through relentless innovation and discovery, we are transforming the worlds of TVs, smartphones, wearable devices, tablets, digital appliances, network systems, medical devices, semiconductors and LED solutions. Samsung is also leading in the Internet of Things space through, among others, our Smart Home and Digital Health initiatives.
Since being established in 1969, Samsung Electronics has grown into one of the world’s leading technology companies, and become recognized as one of the top 10 global brands. Our network now extends across the world, and Samsung takes great pride in the creativity and diversity of its talented people, who drive our growth.