Life @ stratlytics
Life at stratlytics - if you want to become the captain of your own ship, then stratlytics is the place to work at.
Everyone, here, is free to opine and contribute to the intellectual property that we are trying to buildWe believe that passion drives excellence and not just talentWe keep learning, introspecting, debating and still learning to make it possibleOffice work and business decisions are kept transparent enough for everyone to make meaningful contributionsYou will feel the pleasure of handling your own ship and pressure of delivering on missions at the same timeIf you think you are up for the same, stratlytics is the place to work atIf you want to work with us and don`t see any suitable openings here, still write to us with your resume at email@example.com telling us why.
We are looking for a natural language processing engineer to help us improve our nlp products and create new nlp applicationsNlp engineer responsibilities include transforming natural language data into useful features using nlp techniques to feed classification algorithmsTo succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniquesYour ultimate goal is to develop efficient self-learning nlp applications.
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
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
Good knowledge of recent research publications in nlp & conversational ai
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, 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 scikit-learn)
Strong communication skills
An analytical mind with problem-solving abilities
Degree in computer science, mathematics, computational linguistics or similar field
Posted 30+ days ago