As member of our R&D team, the person will work on applications of AI & machine learning to solve large-scale business problems in retail and supply chain management, collaborating with both colleagues and partner organizations in Singapore and abroad.
Responsibilities:
● Communicate with our clients to understand their current pain points and how AI / machine learning can be applied to improve their bottom line. This can include discussions with clients’ management, information technology team, or specialists from other fields (such as logistics).
● Work with other R&D team members both in Singapore and abroad to develop proofs-of-concept of solutions and present it to our clients.
● Together with other R&D team members and partner organizations, develop said proofs-of-concept into systems capable of handling large volumes of data in production environments.
● Keep up with technology developments related to AI, machine learning, and engineering of large-scale software systems.
Requirements:
● At least a bachelor’s degree in computer science, computer engineering or related field.
● Good knowledge of AI and machine learning, particularly time-series analysis and forecasting. This includes trade-offs related to selection of data pre-processing steps, algorithms, and evaluation metrics.
● For R&D Engineer: Preferably 2 years of experience in machine learning system development.
● For Senior R&D Engineer: Preferably 4years of experience in machine learning system development. Alternatively, post-graduate research experience with publications related to AI/ML in reputable journals or conferences.
● Proficiency in Python and libraries related to data processing such as pandas or polars is a must. Proficiency in at least one additional popular programming language (e.g., Java, JavaScript, C++, C#, Go, PHP) is strongly preferred.
● Good knowledge of software engineering and data engineering concepts, such as algorithmic complexity, architectural patterns, and version control.
● Understanding of containerization and automated test is a plus.
● Working knowledge of either GCP, AWS, or Azure, particularly services related to AI/ML, CI/CD, and data engineering.
● Excellent verbal and written communication skills. This includes the ability to clearly explain technical matters such as system design decisions to non-technical audiences.
● Experience working in projects that involve stakeholders based in different countries will be a plus.