Job DescriptionGlobeMed Group, the largest Healthcare Benefits Management company in the MENA region is looking for a Senior AI / ML Engineer who will be responsible for designing, developing, integrating, and deploying AI capabilities across GlobeMed. The role provides senior technical expertise in AI engineering, application development, while working closely with business and technical teams to deliver reliable, scalable, and secure AI capabilities aligned with organizational needs.
Duties & Responsibilities:
- * Design and develop AI capabilities, applications, and AI-enabled workflows using modern AI tools and frameworks.
- Develop and integrate AI agents, APIs, and MCP-based capabilities where applicable.
- Develop and maintain front-end and back-end components supporting AI applications.
- Apply AI-assisted coding tools to improve development efficiency and code quality.
- Evaluate and adopt emerging AI technologies, frameworks, and development practices.
- Ensure AI solutions are designed with appropriate scalability, reliability, security, and maintainability.
- Work with ICT teams to ensure appropriate infrastructure, networking, security, and resource requirements are addressed.
- Monitor and optimize the technical performance and resource utilization of AI environments.
- Lead technical testing and validation of AI solutions prior to implementation.
- Evaluate AI solutions for accuracy, reliability, performance, usability, and scalability.
- Identify technical and functional issues and coordinate their resolution.
- Establish appropriate testing approaches for AI models, agents, integrations, and applications.
- Training, evaluating, and fine-tuning ML models on historical data for predictive analysis.
Qualifications
Education:
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related technical field.
- Relevant Master's degree or professional AI/cloud certification is an advantage.
Experience/Knowledge:
- 3-6 years of experience in AI Platforms.
- Strong hands-on experience developing and deploying AI applications and capabilities.
- Strong knowledge of modern AI tools, frameworks, APIs, LLMs, and AI development practices.
- Experience with AI agents, MCPs, and AI integrations.
- Experience using AI coding and AI-assisted software development tools.
- Experience working with legacy Databases using SQL.
- Hands on code knowledge using python or other similar languages.
- Source Control platform integration example GIT.
- Previous experience working with microservices
- Prior work experience with message queues and streaming platforms is a plus.
- Knowledge of Agile methodology with prior experience on ticketing systems like jira is a plus.
- Experience working on ML models with hands on experience using platforms like pytorch.
- Hands on model testing, metrics evaluation, and fine tuning for ML predictive models.
