Total 4 quality assurance engineer job vacancies in Science / R&D / Research category in D26 Upper Thomson, Springleaf

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:

● Work with other team members (both in Singapore and abroad) to understand our clients’ current pain points and how AI/machine learning can be applied to improve their bottom line. This can include discussions with people from a variety of backgrounds (marketing, logisctics, etc.).

● Work with the team and partner organizations to develop proofs-of-concept of solutions, present it to our clients, and develop approved POCs into complete applications for production use.

● Work with the team on continuous improvement of internal practices.

Requirements:

● At least a bachelor’s degree in computer science, computer engineering or related field.

● Preferably 4 years (Senior) or 6 years (Principal) of experience in machine learning system development.

● Hands-on technical experience in at least two full cycles of AI/ML-based software projects that require high reliability and use large amounts of data (from initial requirements gathering to project completion/go live and maintenance.

● Experience in software development project involving external clients is a big plus.

● Experience working in a geographically distributed team is a plus.

● Working knowledge of AI/ML, particularly in one of the following areas: time series forecasting, computer vision, LLM, or routing optimization. This includes trade-offs related to system design, algorithm, and evaluation metrics.

● Good understanding of software engineering, including:

- Requirements gathering and documentation practices

- Architectural decisions and trade-offs, particularly in context of Python code and cloud services (GCP/AWS/Azure)

- Use of supporting tools such as Jira, Confluence, Git, and test automation tools

- CI/CD practices

- Best practices for development/deployment using cloud services.

● Proficiency in Python and libraries related to data processing and AI/ML. Proficiency in at least one additional popular programming language (e.g., Java, R) is a big plus.

● 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 with mixed backgrounds (technical/non-technical) or geographical locations will be a plus.

● Knowledge of MLOps is a plus.

● Proficiency in Bahasa Indonesia is a plus to effectively communicate with Indonesian-speaking clients.

Singaporean only may apply.

We regret to inform that only shortlisted candidates will be notified.

1. Provide scientific and technical leadership in the field of Artificial Intelligence

2. In-depth exploration of the techniques in terms of theoretical, conceptual, and implementation aspects.

3. Provide expertise in machine learning (e.g. deep learning), data mining, signal processing, automation, etc.

4. Designing and developing software applications, tools, and platforms that support AI systems.

5. Project planning and management, liaison with stakeholders and research collaborators. Create technical roadmap, initiate R&D theme proposals, and deployment of solution.

Requirements:

• Degree in Artificial Intelligence, Deep Learning, Computer Science, Engineering or similar
• Rich experience in machine learning, data analysis, NLP, and algorithm development.
• Excellent programming skills in Python. (C, C++, or JS is an advantage)
• Experience in front end technologies & modern framework is preferred.
• Strong server-side development skills using languages like Node.js, vue.js, etc.
• Demonstrated history of engineering innovation.

Responsibilities

• Develop the next generation FPGA & SOC based artificial intelligent software Platform.
• Work closely with suppliers to support the FPGA/Linux software development in machine learning, computer vision, video coding and transmission and etc.
• Work together with advance solution team to deliver AI platform into different customer applications

Requirements

• Bachelor’s or Master’s Degree in Electrical Computer Engineering or Equivalent
• Minimum 3 years of hands-on experience with FPGA design, embedded Linux software development, or related
• Successful completed FPGA or embedded Linux designs from concept to production
• Familiar with common processor interfaces (PCI-Express, DDR3/4, I2C, SPI, RS232, MDIO, XAUI, MIPI, etc.)
• Experienced with Xilinx Vivado IDE including synthesis, simulation, place and route, timing closure
• Familiar with Vitis software platform is a plus
• Experienced with embedded Linux based BSP customization, software framework and application development
• Exposure to integration and debugging tools, such as oscilloscope, logic analyzers
• Able to work independently

ROLE AND RESPONSIBILITIES

1. Develop the next generation FPGA & SOC based artificial intelligent software Platform
2. Work closely with suppliers like Xilinx to support the FPGA/Linux software development in machine learning, computer vision, video coding and transmission and etc.
3. Work together with advance solution team to deliver AI platform into different customer applications

QUALIFICATIONS AND EDUCATION REQUIREMENTS

Bachelor’s or Master’s Degree in Electrical Computer Engineering or Equivalent

PREFERRED SKILLS

- Minimum 3 years of hands-on experience with FPGA design, embedded Linux software development, or related

- Successful completed FPGA or embedded Linux designs from concept to production

- Familiarity with common processor interfaces (PCI-Express, DDR3/4, I2C, SPI, RS232, MDIO, XAUI, MIPI, etc.)

- Experience with Xilinx Vivado IDE including synthesis, simulation, place and route, timing closure

- Familiar with Vitis software platform is a plus

- Experienced with embedded Linux based BSP customization, software framework and application development

- Exposure to integration and debugging tools, such as oscilloscope, logic analyzers

ADDITIONAL NOTES

- Initiative able to work independently