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Data Science / NLP Engineer

We are looking for an experienced Data science analyst who will be responsible for the server side of our web/mobile applications. Strong knowledge of Machine Learning/NLP is appreciated

If you have excellent programming skills and a passion for developing applications or improving existing ones, we would like to meet you. As a Data science analyst, you’ll work closely with our engineers to ensure system consistency and improve the user experience.

Ultimately, you should be able to develop and maintain functional and stable web/mobile applications to meet our company’s needs.

NLP Requirements

* Experience developing backend systems involving NoSQL databases and Graph Databases

* Experience and familiarity with the concepts of threading, concurrent execution methodologies including monads

* Polyglot programmer: Hands-on experience with multiple languages, must have Java experience, Python is good to have.

* Experience training and deploying models based on Stanford Core NLP

* Experience with machine learning, preferably one or more among Tensorflow, Theano, Deeplearning4J, Torch

* Deep understanding of machine learning algorithms and data vectorisation, normalisation

* Familiarity with concepts of finite state machines

* Ability to deploy systems involving the above in a production scale system

* Experience with containerized deployments using Docker, Ansible etc preferable

CV Requirements

* Experience developing backend systems involving NoSQL databases

* Experience and familiarity with the concepts of threading, concurrent execution methodologies including monads

* Polyglot programmer: Hands-on experience with multiple languages, must have Java experience, Python is good to have.

* Experience with JNI 

* Experience with machine learning, preferably one or more among Tensorflow, Theano, Deeplearning4J, Torch, Caffe. Preferable to have experience on Convolutional networks.

* Experience with OpenCV or Leptonica is a must. 

* Deep understanding of computer vision algorithms is a must. 

* Ability to deploy systems involving the above in a production scale system

* Experience with containerised deployments using Docker, Ansible etc preferable

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