Senior Machine Learning Engineer (NLP specialization)

What are the 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