Job Description

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.

Thales Research & Technology (TRT) is Thales' international research organization, transforming innovative ideas into technological differentiators that power the next generation of solutions. In Singapore, TRT strengthens Thales' presence within the scientific and engineering communities by fostering innovation, collaboration, and knowledge sharing while attracting world-class research talent to advance our technological expertise.

We are looking for an experienced Data Science & AI Engineer to join our dynamic team. In this role, you will contribute to the development of intelligent systems that transform operational data into actionable insights, enabling end users to make trusted, data-driven decisions through AI and advanced analytics. The role is based at Thales' Avionics industry and manufacturing facility, working within the Avionics Industry Centre of Excellence (CoE) and collaborating with multiple flight avionics sites.

Responsibilities:

• Develop and deploy computer vision algorithms, machine learning models, and AI solutions to address business challenges such as object detection, anomaly detection, classification, behaviour analysis, and intelligent data querying.
• Design, build, maintain, and automate scalable data pipelines to collect, clean, and transform operational data for AI and analytics applications.
• Collaborate closely with stakeholders across Engineering, Operations, and Centres of Excellence to gather requirements, identify opportunities, and propose practical AI-driven solutions.
• Lead and contribute to agile proof-of-concept (POC) projects, conducting experiments in realistic environments to validate, optimize, and ensure the robustness of AI models for deployment.
• Transform existing operational processes by applying Data Science and AI to improve efficiency, automate manual workflows, and enable data-driven decision-making in manufacturing, test, and maintenance operations.
• Stay current with the latest advancements in AI, machine learning, computer vision, and data engineering, proactively exploring and championing innovative technologies that create business value.
• Produce high-quality technical documentation, contribute to patentable innovations, share knowledge through technical presentations, and, for Senior Engineers, provide technical leadership and mentorship within the AI and computer vision domain.

Requirements:

• Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field, with specialization in Data Science and AI.
• At least 1 year of software engineering experience, including significant hands-on experience building and deploying AI/ML-powered applications and platforms.
• 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.

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.