Key Responsibilities
Learning Application Development
- Build, customize, and support digital learning applications, including Learning Management Systems (LMS) and related learning platforms.
- Assist in the implementation, configuration, and deployment of learning technologies.
- Ensure systems are scalable, secure, and compliant with enterprise architecture and technology standards.
AI Integration & Development
- Develop and integrate AI-enabled capabilities within learning platforms, such as:
- Intelligent recommendation engines
- Chatbots and virtual learning assistants
- Adaptive and personalized learning solutions
- Leverage AI frameworks, APIs, and services to enhance learner engagement, analytics, and personalization.
- Implement AI-driven features to improve content discovery, learner support, and performance insights.
System Integration
- Integrate LMS and learning platforms with enterprise applications, including HR systems, authentication services, and analytics tools, using APIs and middleware technologies.
- Maintain compatibility with e-learning standards such as SCORM, xAPI, and LTI.
Testing & Optimization
- Perform testing, troubleshooting, debugging, and optimization of both application and AI components.
- Monitor platform performance and recommend continuous improvements to system reliability and efficiency.
Collaboration
- Partner with instructional designers, project managers, and product teams to translate learning needs into effective technical solutions.
- Work alongside data engineers and AI specialists to deploy machine learning models and intelligent platform features.
Documentation & Support
- Prepare and maintain technical documentation, including system architecture, integrations, and AI-related components.
- Provide technical support and issue resolution during implementation, deployment, and post-launch activities.
Skills & Experience Required
- Proficiency in software development using languages such as Python, JavaScript, C#, or Java.
Strong understanding of web technologies, including HTML5, CSS, RESTful APIs, and microservices architecture. - Experience working with LMS platforms or other digital learning technologies.
- Hands-on experience with relational databases such as Microsoft SQL Server, MySQL, or PostgreSQL.
AI & Data Competencies
- Familiarity with AI and machine learning frameworks, including TensorFlow, PyTorch, and Scikit-learn.
- Experience integrating AI services and APIs, including NLP tools, chatbot technologies, and recommendation systems.
- Understanding of learning analytics, data processing workflows, and AI-based personalization methods.
Systems & Integration
- Experience integrating enterprise applications through APIs and middleware solutions.
- Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Familiarity with e-learning standards including SCORM, xAPI, and LTI is an added advantage.
System Administration
- Understanding of system administration functions, including user access management, backup processes, and cloud security configurations.
Soft Skills
- Strong analytical and problem-solving capabilities.
- Ability to collaborate effectively within cross-functional teams.
- Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
- Strong attention to detail in system configurations, integrations, and implementation activities.
Education
- Bachelors degree in Computer Science, Information Technology, Engineering, or a related discipline.
Certifications
- Professional certifications in AI, cloud technologies, or software engineering are advantageous, including certifications from AWS, Microsoft, or LMS-related platforms.
Experience
- Experience supporting cloud-based learning platforms and digital learning ecosystems.
- Familiarity with SCORM, xAPI, and Tin Can API for learning activity tracking and reporting.
Security Awareness
- Knowledge of data protection and security best practices, particularly when handling sensitive employee and learning data.
To apply, please visit and search for Job Reference:
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973
