Engineer, Data Science & AI

Location: Singapore, Singapore

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

In Singapore, Thales has been a trusted partner since 1973, originally focused on aerospace activities in the Asia-Pacific region. With 2,000 employees across three local sites, we deliver cutting-edge solutions across aerospace (including air traffic management), defence and security, and digital identity and cybersecurity sectors. Together, we’re shaping the future by enabling customers to make pivotal decisions that safeguard communities and power progress.

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.

Other information:

Working Location: One North

Working Hours: Monday - Friday, 9am - 6pm

At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.