Engineer, Data Science & AI

Thales (Euronext Paris: HO) is a global leader in advanced technologies specialising in three business domains: Defence & Security, Aeronautics & Space and Cybersecurity & Digital identity. It develops products and solutions that help make the world safer, greener and more inclusive. The Group invests close to 4 billion a year in Research & Development, particularly in key innovation areas such as AI, cybersecurity, quantum technologies, cloud technologies and 6G. Thales has close to 81,000 employees in 68 countries. In 2023, the Group generated sales of 18.4 billion.

Thales has been present in Singapore since 1973 originally supporting aerospace-related activities in the Asia-Pacific region. Since then, the company has expanded and is today involved in the primary businesses of Aerospace (including Air Traffic Management), Defence & Security and Digital Identity & Security. Thales employs over 2,000 employees across 3 locations in Singapore providing solutions that help customers make critical decisions. As a people-centred company, Thales was honoured to be ranked 50th out of 200 on Straits Times Singapore's Best Employers 2021 list, a recognition of our investment in nurturing talent.

About Us

At Thales Research and Technology (TRT), we extend the influence of Thales within the scientific and technical communities, offering a platform for innovation and knowledge sharing, and attracting talented research engineers to further develop our expertise. Together with our academic partners in the universities, we deliver impactful innovations that prepare for future applications.

Role Description

We are seeking a talented and driven Engineer/Senior Engineer specializing in Data Science & AI, with a strong emphasis on computer vision and machine learning, to join our dynamic team. In this role, you will contribute to our pioneering projects in intelligent systems that transform operational data into actionable information that enable End Users to make trusted decisions.

To be successful in this role, you should possess curiosity to explore the State-of-the-Art, willingness to challenge the status quo, being open-minded to new possibilities and be a team player in a dynamic research environment. You should thrive on self-learning and value hands-on experience in upskilling. You should be proactive to propose and champion new ideas towards stakeholders and create new values from the application of Data Science & AI in Thales business domains.

Responsibilities:

. Develop and implement computer vision algorithms and machine learning models for a range of applications, including object detection, change detection, anomaly detection, multiclass classification, behaviour analysis, and video stitching and scaling.

. Contribute to cross-functional teams developing proof-of-concepts and conduct experiments in realistic environments to validate algorithms, optimize performance, and ensure the robustness of models in real-world applications.

. Able to generate good quality documentation and capture patentable inventions.

. Stay current with the latest advancements in AI, machine learning, and computer vision technologies to continually enhance our capabilities.

. Motivated to share knowledge via presentations in internal and external events.

. In the case of a Senior Engineer profile, act as the computer vision subject matter expert and provide technical guidance and mentorship in the team.

Requirements:

. Bachelor's or Master's degree in Engineering, Computer Science, or a related field, with specialisation in Data Science and AI.

. Hands-on experience in computer vision and machine learning, with a diverse portfolio of projects.

. Proficiency in programming languages such as Python, C++, or C, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, OpenCV) and MLOps concepts (e.g. KubeFlow).

. Solid understanding of deep learning architectures and algorithms like CNN and vision transformer, particularly in the context of image and video analysis.

. Strong analytical skills and the ability to work with large datasets.

. Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders.

. Experience in a collaborative, team-oriented environment.

Desired Skills:

. Familiarity with cloud computing platforms and big data technologies.

. Knowledge of embedded systems and real-time processing.

. Experience in specific domains such as aerospace, automotive, defence, or security is a plus.