Fix the following errors:
WHY CITYSWIFTER?
At CitySwifter we only believe in hiring the very best, we want to change the way the world moves and to do that we need an exceptional team.
If you are exceptional and want a challenge then we believe in giving you everything you need to succeed.
Our cool Galway City Centre offices give you the opportunity to work hard but also enjoy one of Ireland's most beautiful cities.
A member of the CitySwifter team will be in touch via email or phone to get some more details from you as well as getting to know you a little better. We will organise interviews which will be no longer than two weeks from application
CITYSWIFTER - 2018 All Rights Reserved.
WE ARE HIRING THE BRIGHTEST AND THE BEST
WHAT HAPPENS NEXT?
WHAT WILL YOU BE DOING?
As a Data Scientist at CitySwifter, you will be responsible for analysing and optimising key deep learning (DL) and machine learning (ML) models, neural network algorithms and applications. You will be working as part of a team that conceives, researches, and prototypes new machine learning techniques and use cases.
Ideal candidates would have good understanding of state-of-the-art techniques in machine learning and deep learning, performance optimisation, and benchmarking, along with a strong understanding of computer architecture. Candidates must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding team-oriented environment. You are expected to maintain substantial knowledge of state-of-the-art principles and theories in the space of machine learning, performance optimization and computer architecture in general. You may also participate in the development of intellectual property.
Required Qualifications:
- Honours degree (MSc preferred) from a numerate science discipline, which included at least one module on statistics (e.g. Mathematics, Statistics, Physics, Engineering, or Computer Science).
- Programming experience in numerical analysis and/or experience with statistical data analysis using tools such as Python and R.
- Evidence of strong mathematical modelling capabilities.
- An ability to interpret statistical results and identify their significance within a scientific discipline in the life sciences.
- An ability and willingness to pick up new computer programming languages quickly.
- Strong technical writing, presentation and computer skills (using MS Office suite).
Preferred Qualifications (but not essential):
- Experience with Tensorflow & GCP
- Experience with performance profiling, characterization and optimization
- Experience in Object Oriented Programming
- Ideal candidate would have knowledge, experience or interest in transport technology
