Data Science Researcher Dublin

Added: 27/06/2019

REF: 705

Contract: Permanent

Location: Dublin, Ireland

Data Science Researcher Dublin

Our client is a leader in cloud management and have built one of the most advanced R&D Centre's in Europe in Dublin.
They are building a new research team that will focus on research & developing AI algorithms for solving such complex research challenges leveraging the recent advancements in AI. 
This position is expecting to have a strong AI background with deep AI algorithmic knowledge such as anomaly detection, reinforcement learning, supervised and unsupervised learning algorithms. 
For researching and developing scalable AI algorithms, you will have access to large real datasets and will have access to Big Data processing infrastructure as needed (e.g., GPUs, Spark Clusters).

Your work will cover smartphones, PC and tablets, wearable s, mobile broadband device, family device and device cloud service. 
And will help deliver the latest technologies to consumers.

Your Role
Conducting a scientific comparative analysis of operation data and find the proper AI techniques to apply to it.
Encapsulating the AI modules into workable research proofs-of-concepts.
Handling a huge amount of data and hence, buildings scalable machine learning models.
Technology transfer of the developed AI models and working closely with relevant business units.

Your Skillset
PhD in a relevant field is preferred or Masters +3 years of experience applying advanced AI techniques to real-world problems.
Experience working with Deep Learning Programming frameworks such as Keras, PyTorch, TensorFlow
Proficient in Supervised Learning, Un-Supervised Learning, and Semi-Supervised Learning algorithms.

Salary is generous and comprehensive benefits package.

Please apply today and or email Mark@alldus.com
Mark Kelly
Speak to to Mark Kelly or apply below

Chief Customer Officer Mark is an award-winning Executive Search Consultant in the areas of Artificial Intelligence, Machine Learning and Data Science markets.

Email: mark@alldus.com

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