We are seeking a motivated and versatile AI Application Developer for a 1-year contract to support digital transformation initiatives across our inspection business unit and internal platforms.
This role is ideal for someone passionate about automation, data engineering, and low-code/no-code solutions. You will work closely with the business to deliver practical digital tools that improve productivity, streamline workflows, and reduce manual work.

Key Responsibilities

• Build and enhance PowerApps (including offline forms) and Power Automate workflows.
• Refactor and extend Python applications (e.g., report generation, data migration, data analysis).
• Design and implement RPA bots, ETL pipelines, and data engineering solutions.
• Develop JavaScript-based applications or extensions where required.
• Create dashboards and reports to provide operational insights.
• Explore and integrate chatbots, OCR, and AI/ML features into business workflows.
• Work with Microsoft Azure services (Dataverse, Azure Functions, Storage, etc.) for backend solutions.
• Use Azure DevOps pipelines for basic CI/CD.
• Deploy and manage applications in Docker/Kubernetes environments (nice to have).
• Participate in BCA audits and ad-hoc hardware troubleshooting when needed.

Required Skills & Experience

• 0–4 years of experience in software development, automation, or digital solutions. (Fresh graduates welcome)
• Proficiency in Python for scripting, data analysis, and automation.
• Hands-on experience with Microsoft Power Platform (PowerApps, Power Automate, Dataverse).
• Familiarity with JavaScript for app development and integrations.\\
• Interest in RPA, data engineering, and automation.

Nice to Have

• Experience with Docker, Kubernetes (AKS).
• Exposure to MongoDB.
• Familiarity with Azure DevOps and CI/CD workflows.
• Understanding of OCR technologies and chatbot development.

Education

• Candidates should possess either a degree or diploma in relevant fields:
• Bachelor’s Degree in: Computer Science, Information Systems, Business Analytics, Engineering, or related disciplines.
  OR
• Diploma in: Applied AI & Analytics, AI & Data Engineering, Business Analytics, Information Technology / Business Information Technology or related disciplines.