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Research Engineer/Senior Research Engineer (SMS/SIS), SIMTech
<strong>ABOUT THE ROLE<br><br></strong>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.<br><br><strong> JOB DESCRIPTION <br><br></strong>Key Responsibilities<br><br>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:<br><br><ul><li> Design and develop backend web applications and database schemas </li><li> Design, develop, and deploy AI/ML models for production use </li><li> Integrate AI capabilities into applications (APIs, microservices, or embedded components) </li><li> Conduct model experimentation, optimization, and benchmarking </li><li> Manage source codes and maintain workflows for version control </li><li> Fix and troubleshoot code issues and technical issues </li><li> Perform program coding & testing in compliance with approved life cycle methodologies </li><li> Resolve application-based issues through debugging, research, and investigation <br><br></li></ul><strong>Qualification and relevant experience<br><br></strong><ul><li> Bachelor's or higher in Computer Science, AI, Data Science, or related field </li><li> Working proficiency in some of the following areas: </li><li> SQL Databases, and ORMs (e.g. SQLAlchemy) </li><li> Python programming and common machine learning (ML) frameworks </li><li> Good understanding of data preprocessing, feature engineering, and model evaluation. </li><li> Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker) </li><li> Experience deploying AI models into production environments </li><li> Knowledge of REST APIs, Git, and CI/CD workflows </li><li> Genuine interest in applying AI to solve sustainability challenges </li><li> Curiosity, adaptability, and willingness to learn domain concepts like Life Cycle Assessment (LCA) and Techno-Economic-Assessment (TEA) </li><li> Ability to communicate complex procedures to other colleagues </li><li> Strong hands-on capabilities </li><li> Diligent and possess a positive work attitude <br><br></li></ul>Good communication, writing and presentation skills