Research Engineer/Senior Research Engineer (SMS/SIS), SIMTech

ABOUT THE ROLE

SIMTech is looking for a highly motivated, independent, and innovative backend Software Engineer (with a focus in artificial intelligence and/or data system) to join Sustainable Industrial Systems (SIS) Group. The successful candidate is expected to be creative and team-oriented, finding innovative solutions to new challenges and managing the software development life-cycle using agile approaches. The candidate will work closely with other developers, UX designers, data scientists and engineers to deliver quality systems in a timely fashion.

JOB DESCRIPTION

Key Responsibilities

The successful candidate is expected to contribute to Software Development activities in the research area of sustainability, where they will be working alongside a team of full-stack developers, scientists and engineers, to perform tasks including:

• Design and develop backend web applications and database schemas
• Design, develop, and deploy AI/ML models for production use
• Integrate AI capabilities into applications (APIs, microservices, or embedded components)
• Conduct model experimentation, optimization, and benchmarking
• Manage source codes and maintain workflows for version control
• Fix and troubleshoot code issues and technical issues
• Perform program coding & testing in compliance with approved life cycle methodologies
• Resolve application-based issues through debugging, research, and investigation

Qualification and relevant experience

• Bachelor's or higher in Computer Science, AI, Data Science, or related field
• Working proficiency in some of the following areas:
• SQL Databases, and ORMs (e.g. SQLAlchemy)
• Python programming and common machine learning (ML) frameworks
• Good understanding of data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker)
• Experience deploying AI models into production environments

• Knowledge of REST APIs, Git, and CI/CD workflows

• Genuine interest in applying AI to solve sustainability challenges
• Curiosity, adaptability, and willingness to learn domain concepts like Life Cycle Assessment (LCA) and Techno-Economic-Assessment (TEA)
• Ability to communicate complex procedures to other colleagues
• Strong hands-on capabilities
• Diligent and possess a positive work attitude

Good communication, writing and presentation skills