• Design, develop, and maintain machine learning models for robotics and embodied AI applications • Fine-tune and improve complex software implementations for robotic systems • Build and maintain training and evaluation pipelines using tools such as Azure Machine Learning • Analyze, curate, and refine datasets for robotic and AI model performance • Develop tools and frameworks for rapid deployment of algorithms in simulation and on robotic hardware • Integrate robotic control and perception systems with simulation environments • Architect and implement test automation infrastructure for robotics software • Troubleshoot, debug, and resolve issues across production and research systems • Support deployment efforts and assist with customer-related technical issues • Contribute to open-source robotics software and research initiatives • Collaborate with cross-functional teams to drive research impact and system performance • Document technical designs, workflows, and system improvements

Role Description To remotely assist SG-ANZ markets in Sage transactions, PQR reporting and follow-up (inclusive of back-log clearance), other EDP tasks as assigned. Key Accountabilities: - Timely transactions in Sage - Timely reporting of current PQR - Clearance of ANZ PQR reporting - Timely execution of other EDP tasks as assigned Qualifications - Fresh graduates are encouraged to apply - English and computer literate - Experience in ERP / eQMS experience will be an advantage Benefits - A competitive monthly salary that reflects your experience, skills, and the industry standards, ensuring that you are fairly compensated for your hard work and dedication.

• Assist, support, and help coordinate the design, development, and operationalization of RPA/BPA automation solutions • Build and maintain automations leveraging approved platforms (UiPath, Python Selenium) • Work directly with business leaders to document, design, and configure workflows • Test, monitor, and resolve incidents to ensure stable operation • Present status updates and findings to immediate team and business stakeholders • Develop foundational UiPath skills and stay informed of platform updates and new features • Create clear user guides and basic technical documentation for automation processes

• Develop AI-driven test agents to automate routine testing tasks such as test case generation, documentation, and scripting. • Implementing automation frameworks for testing AI models and software components. • Integrate test automation solutions into existing automation frameworks. • Design and develop automated test scripts using open-source tools and frameworks. • Identify, analyze, and document defects in AI models and software applications. • Collaborate with developers and data scientists to ensure AI algorithms meet quality standards. • Monitor and troubleshoot AI system performance to improve accuracy and efficiency. • Integrate security testing into the automation framework to identify vulnerabilities in AI systems. • Conduct penetration testing to assess security risks in AI-powered applications. • Ensure compliance with security standards and best practices for AI models and software. • Stay updated on industry trends and advancements in AI testing methodologies and cybersecurity.