Machine Learning Engineer Intern
Internship
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.
Qualifications
- Minimum 6 months of internship [COMPULSORY]
- Currently pursuing Bachelor's Degree focused in IT, Engineering, or Computer Science.
- Good teamwork, interpersonal, and communication skills.
- 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 PyCharm IDE.
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.