AI Engineer (Hybrid)

Location: Madrid, 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.

Thales Cybersecurity & Digital Identity is a global leader in digital security, bringing trust to an increasingly connected world. We design and deliver a wide range of products, software and services based on two core technologies: digital identification and data protection.

With the massive surge of electronic travel documents and national eID cards, Thales Digital & Security is supporting border agencies, government authorities and airports to exploit technology convergence to gain consistent, comprehensive border, visa management and document verification worldwide, that will:

• Deliver seamless travel with border control applications
• Offer convenience for travelers for fast and secure border crossing
• Improve border intelligence for detection and prevention, including some of the most disruptive new technologies like biometrics, machine learning, or micro services.

We are looking for a Data Scientist whose work will take place in the DV (Document Verification Team (part of Identity and Biometrics Solutions – R&D Engineering) located in Madrid.

The Data Scientist is responsible for the design and implementation of software components, qualification and integration of third party's software and usage of ML techniques in the scope of Document Verification and Data Extraction. Our products span from reusable libraries (hardware connectors, biometric libraries), desktop applications integrating hardware (passport readers), up to high performance servers.

Our costumers came from different areas including both: Public (Border Control System, Automatic Border Contols (ABC), Airport Systems, …) and Private (Banks, Telco, Car sharing companies) sectors that require document authentication and data extraction.

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:

Education:

• Master’s degree in Computer Science/Data Scientist.
• The data scientist must have completed training and master's degree in machine learning at their school / university.

Experience:

Tech skills:

• You must have proven experience of at least 2 to 5 years in a similar role.
• 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 and have good knowledge of image processing and ML techniques applied to computer vision. Experience using Computer Vision libraries (eg OpenCV)
• You must know Keras/Tensorflow or pythorch and implement several deep learning models close to industrialization.
• You must be fluent in Spanish & English.

Soft skills:

• Good communication skills
• Great deal of autonomy
• Be a good team player

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, kindergarten).
• Free coffee on-site!

Thales is a company committed to equal opportunities between women and men, and for this reason, we work to raise awareness and disseminate information on the subject both internally and externally.

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!