Natural Language Processing Group is responsible for a wide range of text-Analytics technologies including data filtering, sentiment analysis, predictive modeling etc. Our diverse, multi-faceted team delivers intelligent and highly performant technologies driven by natural language text data. We are looking for a passionate machine learning engineer to develop new statistical models for delivering high-quality text input experiences.


Identify new opportunities to apply Machine Learning to different parts of the product
Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
Have responsibility for the creation and development of our Text Analytics strategy and software, with a focus on Sentiment Analysis
Take end to end ownership of Machine Learning systems
Partner with other teams such as Data, Design and Product to collaborate on projects across the company
Work with the engineering management team to develop new initiatives and improve existing processes across the entire engineering team
Implement small and large scale projects in Advanced Analytics to help derive business insights for measurable success
Evaluate emerging datasets and technologies that may contribute to our analytical platform


Verdantis Inc.


Desired Skills and Experience:

3 -7 years of Solid Java And/or Python development experience
2 to 3 years of experience in NLP technologies and Machine Learning
Good understanding of Machine learning and Neural network
Strong working knowledge of machine learning techniques (generative and discriminative models)
Experience applying machine learning techniques to NLP problems
Knowledge of fundamental natural language processing techniques
Research experience in machine learning or natural language processing
Ability to run experiments scientifically and analyze results
Fluency in Python, JAVA or similar scripting languages
Expertise in at least 3 of the following:
Strong understanding of text pre-processing and normalization techniques, such as tokenization, POS tagging and parsing and how they work at a low level.
Strong collaborative mindset
o Sentiment Analysis

o Entity Extraction

o Natural Language Understanding (NLU) and

o Natural Language Generation (NLG)

Excellent critical thinking and problem solving skills

Level of experience (years):

Senior (5+ years of experience)

How to apply:

Please mention NLP People as a source when applying


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