Machine Learning Engineer

hace 4 semanas

Alicante, España Thales A tiempo completo

Localizacion : Alicante, Spain

Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

Thales in Spain is a leader in technological solutions applied to Defence, Aeronautics, Security, Transportation and Space and, furthermore, is a global centre for excellence in Space, Security of Critical Infrastructures and Transportation. With a turnover of €320 million and a staff of 1,200, it exports approximately 40% of its total production principally to the Middle East, North Africa and Latin America.

The Data Scientist's work will take place in the IDV team located in Alicante. IDV (IDentity and Verification) performs secure authentication of user’s ID document and biometrics verification online and in mobile attended and unattended environments.

Your mission will be to explore and implement deep networks and optimization algorithms on a wide variety of use cases ranging from image processing to natural language processing techniques (NLP).
- You will focus on building models in artificial intelligence and Machine Learning
- Stay at the forefront of research and actively participate in the community: to identify potential risks and opportunities of AI / ML on our offers
- You will explore various cutting edge techniques to help solve use cases.
- You will identify and implement a strategy to collect appropriate annotated (or not) data sets for supervised and unsupervised learning methods and create training data.
- You will design, train and validate ML models and define solutions and the roadmap for integration into production.
- You will be responsible for the end-to-end development of machine learning architectures: determine possible approaches, implement them, research training data if necessary, train it, test it and optimize it for production.

**To succeed in this job, you must have**:

- Master’s degree: Computer Science/Data Scientist
- The data scientist must have completed training and master's degree in machine learning at their school / university.
- To perform this job, you must have good knowledge of: supervised and unsupervised algorithms of Learning Machine, Python / R, Spark / Hadoop, one of the deep learning solutions (TensorFlow, Pythorch), UNIX / shell script creation, Linux administration.
- You must know Keras/Tensorflow or pythorch and implement several deep learning models close to industrialization.
- You must be fluent in English, have good communication skills and a great deal of autonomy.
- You must have proven experience of at least 2 to 5 years.

**Any of the following will be valued**:

- We would be grateful if you have knowledge of: cloud computing, software development, Git and version control concepts.

**What do we offer?**
- Flexible working hours.
- Shorter working days on Fridays and during August.
- Remote-friendly - 2/3 days a week working from home.
- Restaurant allowance and social benefits (health insurance, kindergarden).
- Free coffee on-site

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