AI Engineer

Requirements

• 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
• Fresh graduate are welcome to apply
• Familiar with deep learning concept and framework
• Have experience in automatic speech recognition or text-to speech (Preferred)
• Have experience in ML, NLP, or AI engineering, ideally with hands-on LLM experience
• *This position will be hired under a third-party contract
• 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 .

Additional Information

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.

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