
Machine Learning in Embedded System Intern
- Internship, onsite
- Keysight Technologies
- Singapore, Singapore
Salary undisclosed
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Responsibilities
- To study LLM models in the market
- To investigate ways of using LLM to assist test developers in proprietary syntax library files for board test development
- To develop and test solutions developed
- Internship is under an industrial attachment programme conducted by your university or institutions. Industrial attachment can be either compulsory or elective or voluntary
- A full-time matriculated or registered student in one of the approved institutions
- Hold a Student Pass issued by the Immigration and Checkpoints Authority (ICA)
- For foreign students studying overseas, you must be eligible for the Work Holiday Programme (WHP)
- Undergraduate or graduate from university in Australia, United Kingdom, Malaysia
- University recognized by the government of the respective countries
- Electrical/Electronic Engineering, Computer Science, Computer Engineering, or related discipline
- Good programming skills in Perl, C#, Python, NodeJS, Angular or React, HTML5, CSS, RESTful or similar technologies will be an advantage
Responsibilities
- To study LLM models in the market
- To investigate ways of using LLM to assist test developers in proprietary syntax library files for board test development
- To develop and test solutions developed
- Internship is under an industrial attachment programme conducted by your university or institutions. Industrial attachment can be either compulsory or elective or voluntary
- A full-time matriculated or registered student in one of the approved institutions
- Hold a Student Pass issued by the Immigration and Checkpoints Authority (ICA)
- For foreign students studying overseas, you must be eligible for the Work Holiday Programme (WHP)
- Undergraduate or graduate from university in Australia, United Kingdom, Malaysia
- University recognized by the government of the respective countries
- Electrical/Electronic Engineering, Computer Science, Computer Engineering, or related discipline
- Good programming skills in Perl, C#, Python, NodeJS, Angular or React, HTML5, CSS, RESTful or similar technologies will be an advantage