Job Description

Key Responsibilities:

• Design NLP applications
• Select appropriate annotated datasets for Supervised Learning methods
• Use effective text representations to transform natural language into useful features
• Find and implement the right algorithms and tools for NLP tasks
• Develop NLP systems according to requirements
• Train the developed model and run evaluation experiments
• Perform statistical analysis of results and refine models
• Extend ML libraries and frameworks to apply in NLP tasks
• Remain updated in the rapidly changing field of machine learning

What are we looking for:

• Proven experience as an NLP Engineer or similar role
• Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling
• Ability to effectively design software architecture
•  Deep understanding of text representation techniques (such as n-grams, a bag of words, sentiment analysis etc), statistics and classification algorithms
• Knowledge of Python, Java, and R
• Ability to write robust and testable code
•  Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like sci-kit-learn)
• Strong communication skills
•  An analytical mind with problem-solving abilities
• Degree in Computer Science, Mathematics, Computational Linguistics, or similar field