The Aviation Innovation Research (AIR) Lab
Established in Nov 2019, the Civil Aviation Authority of Singapore (CAAS) and Thales launched a research lab in Singapore as a key nexus to accelerate the innovation and collaboration between CAAS and Thales for the next generation of Air Traffic Management (ATM).
Co-steered by the senior management from CAAS and Thales, AIR Lab is leveraging open and advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) to develop and demonstrate future ATM Proof-of-Concepts (POCs). The POCs in AIR Lab will allow quick integration of the new innovations that are developed into an ATM System. AIR Lab is also co-located with the Thales Digital Factory to synergise with the digital transformation efforts in Thales.
Strategically sited in the vibrant WeWork’s flagship in Suntec, the AIR Lab aims to accelerate the development of the next-gen of local ATM experts and nurture their talents. ATM domain experts, software developers/engineers and Air Traffic Controllers (ATCOs) from CAAS and Thales would also be working in concert and in an agile fashion on the POCs. Supported by the Aviation Transformation Programme (ATP) under the National Research Foundation, AIR Lab provides an open platform for multiple stakeholders in the ATM value chain; including AI experts, software engineers, local start-ups, and enterprises, to collaborate and overcome technological challenges faced by conventional aviation management.
The AIR Lab also provides an opportunity for innovative start-ups to participate in the excellence of Singapore’s own ATM ecosystem and to jointly develop solutions that can be scaled at a global level.
Summary:
The Software Engineer with Data Science contributes to design, development and testing of software components in line with the defined functional baseline of the solution and in the field of Artificial Intelligence.
As well as being technical proficient in back-end software design and development, with the specific capability to develop machine learning solutions, is ready to be flexible, proactive and comfortable with learning a new domain and new concepts and techniques.
The Software Engineer will be working on critical components of a new, innovative and Cloud-native platform within an Agile team, building world-leading technology that will include Artificial Intelligence Agents.
Her / his strengths and developmental interests will include Supervised and Reinforcement learning, Deep Learning, and other Artificial Intelligence techniques. Additionally, Python, Core Java, micro-services and Cloud-native applications are relevant desired capabilities.
Responsibilities:
• Successfully interpret and convert functional / feature requirements into justifiable SW implementation designs, leveraging existing and / or industry best practice frameworks
• Be able to identify and explain the right AI techniques, define a methodology for data collection, model training and conclusion inference (if applicable).
• Identify and use the relevant libraries efficiently, being able to provide conceptual demonstrators and to integrate the code in a cloud-native environment
• Work in an agile, cross-functional multinational team, actively engaging to support the success of the team
• Delivery of high-quality best-practice clean code
• Think out of the box to contribute to solving complex technical problems and to work collaboratively with the rest of the team to build a shared approach consensus
Education Requirements:
• Bachelor's Degree in Software Engineering, Computer Science or Information Technology with a minimum of 3 years of experience
Essential Skills/Experience:
• Experience managing, storing and exploiting large quantities of data
• Experience with Artificial Intelligence solutions
• Experience working in a highly complex engineering environment
• Strong technical knowledge and hands-on experience of software design and development methodologies
• Strong knowledge of Python and desirable CORE JAVA, Java 8
• Strong knowledge of TensorFlow, Keras (or Pytorch)
• Knowledge of common integration patterns (including APIs and cloud-native)
Desirable Skills/Experience:
• Good knowledge of Cloud technologies and Cloud-native architectures for system design and delivery. Knowledge of specific Cloud supplier platform services, in particular Kubernetes,
• Understanding of cybersecurity concepts in the domain of cloud technologies, architectures and deployments (e.g. how things are connected and potential risk areas)
• Knowledge and practical experience of virtualised and containerised deployments and, preferably, their Linux foundations
• Previous exposure to and use of several tools for CI/CD and automated SW testing, with hands-on software design and development experience.
• Knowledge of several languages (e.g. Kotlin, Go, TypeScript, Ada or Java 6) or frameworks (React, Swing)
• Previous experience with large data storage
Apply now!