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Data Scientist / AI Engineer - Machine Learning

Posted on Jul 13, 2019 by CV-Library

West Yorkshire, United Kingdom
Wholesale Trade
Immediate Start
Annual Salary
Full-Time
Data Scientist / AI Engineer – Machine Learning

Salary dependent on experience + strong benefits package

Based in Leeds City Centre

Client: They are a global authority on social media risk. A unique force against evil. Pioneers against today’s modern day threats online. Approaching the fifteen year mark boasting a globally recognised customer portfolio and a HUGE recent investment, their team of AI experts and SMEs continues to evolve, and they find themselves dealing with billions of content across multiple social media channels on a daily basis. With huge growth plans in action and a brand new, state of the art, city centre office, they are now requiring a Data Scientist / AI Engineer. This position is well suited to someone with a strong background in AI and machine learning through their work experience or post-graduate dissertation.

Role: The successful Data Scientist / AI Engineer experienced in Machine Learning will be responsible for creating artificial intelligence algorithms that will classify various risks associated with social media, in the form of text, images, videos, or aggregated content. The successful Data Scientist / AI Engineer experienced in Machine Learning will hold exceptional numerical skills and ideally have knowledge of, or exposure to, Convolutional Neural Networks (CNN) and other artificial intelligence techniques. The successful Data Scientist / AI Engineer experienced in Machine Learning will work as part of a world class AI team and collaborate with teams across the business.

Skills / Experience:

* Strong academic background with a 2:1 degree or higher (or equivalent) in Computer Science, Software Engineering, Mathematics or Physics, or similar

* Machine Learning experience

* Methodical investigation

* Experience with at least one of the following, CNNs, LSTMs/GRUs, GNNs, graph/node embeddings

* Experience with one of the following Random Forests, SVMs or Boosting

* Experience with Python, PyTorch (or TensorFlow, CNTK, MXNet, Caffe), Scikit-learn

* Linux and Windows experienced

* Any knowledge of PyTorch and using GPUs to train deep learning models would be highly advantageous

* Knowledge of relevant machine learning concepts such as overfitting, cross-validation and linear algebra is also beneficial to the role

This is an unmissable opportunity to secure a long term career with a highly reputable Social Media Risk brand who work with global names across multiple industries. To apply please send your CV in the first instance

Reference: 210409321

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