Position: Machine Learning Intern
Duration: Minimum 6 months [COMPULSORY]
Allowance: MYR1,500
Academic Results: Only accept 3.5 CGPA Students (Must attach with academic results)
Note: Highly competitive engineering team, we ONLY accept the top cream of the candidates with the aspiration to contribute to a fast-paced Silicon Valley Venture Capital funded company. If you can't work in a fast-paced Silicon Valley, USA expectation, please do not apply.
Are you passionate about the intersection of artificial intelligence and legal practice? Nex Law.ai, a leading legal AI company, is seeking a talented and motivated Machine Learning Intern to join our innovative team. As a Machine Learning Intern, you will have the opportunity to contribute to the development and enhancement of our cutting-edge AI-powered legal assistant platform. This is a unique opportunity to gain hands-on experience in the legal tech industry while working with state-of-the-art machine learning technologies.
Day-to-Day Responsibilities:

• Prepare raw datasets and make them ready for analysis.
• Perform data collection and web scraping to create machine learning datasets.
• Use the datasets to train analytical and machine learning models.
• Communicate results orally and in written form in clear, concise English.
• Document important findings in internal, structured reports.
• Partner closely with the team leader.
• Apply machine learning tools and techniques to text, images, and other data.
• Develop data visualization, demonstrations, and presentations.
• Verify and validate system functionality and performance.

Position Requirements:

• Degree focused on IT, engineering, or computer science.
• Good teamwork, interpersonal, and communication skills.

Preferred Requirements:

• Coursework and/or experience with one or more of the following: natural language processing (NLP is a must), computer vision, machine learning, or neural networks.
• Experience with Python (pandas, numpy, nltk, sklearn, requests, bs4).
• Familiarity with Jupyter Notebook or Py Charm IDE.

About Nex Law.ai
Nex Law.ai is an innovative legal AI company based in Sydney, Australia, and with engineering operations in Malaysia. We are dedicated to revolutionizing the legal profession by providing comprehensive AI-driven solutions to legal professionals worldwide. Our platform leverages the power of artificial intelligence to streamline legal research, case analysis, contract review, legal writing, and more. We are committed to pioneering privacy-first technology and empowering legal professionals with efficient and accurate legal solutions.
Benefits:

• Gain practical experience in the fast-growing field of legal AI.
• Work closely with a team of experienced researchers and engineers.
• Opportunity to contribute to cutting-edge research and development projects.
• Collaborative and supportive work environment.

How to Apply:
If you are excited about the prospect of working at the forefront of AI and legal technology with a dynamic and forward-thinking team, we would love to hear from you. Please submit your resume, cover letter, and any relevant projects or portfolio to hr@nexlaw.ai.
Join Nex Law.ai and be part of our mission to transform the legal industry with AI-powered innovation. Together, we can shape the future of legal practice.
Job Type: Internship
Contract length: 6 months
Pay: Up to RM1,500.00 per month
Schedule:

• Day shift

Application Question(s):

• What programming languages are you proficient in, particularly for machine learning tasks? Have you used Python and its relevant libraries (pandas, numpy, nltk, sklearn, requests, bs4)?
• Are you familiar with Jupyter Notebook or Py Charm IDE for data analysis and model development? If yes, please explain your experience with these tools.
• Have you completed any coursework or projects related to natural language processing (NLP), computer vision, or machine learning? If so, please provide details.
• Do you have a CGPA of 3.3 minimum requirement? if you don't have one, you will need to present a recommendation letter from your professor from AI courses.