求職者

Our Client:

An innovative startup focused on AI solutions

Descriptions:

• Design and maintain robust data pipelines for processing and transforming large datasets for NLP applications.
• Conduct data scraping to collect relevant text data from various sources, ensuring data diversity and quality.
• Collaborate with data scientists to prepare and optimize data for training and testing NLP models.
• Implement data cleansing techniques to ensure high-quality, reliable datasets for analysis and model training.
• Monitor and evaluate the performance of NLP models, making necessary adjustments to improve accuracy and efficiency.

Requirements:

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.
• Minimum of 1 year of experience in data engineering (data cleansing and data scraping) with a focus on NLP projects.
• Strong proficiency in Python, particularly for data manipulation and NLP tasks.
• Excellent verbal and written communication skills, with the ability to collaborate with cross-functional teams.