Business Solutions Operations Specialist

Business Solutions Operations Specialist to work for RQEEM Company subsidiary of JABEEN Company. Responsibilities • Develop and implement AI-based solutions and applications. • Support machine learning and generative AI initiatives. • Identify opportunities for intelligent automation. • Integrate AI capabilities into existing systems and applications. • Evaluate and improve AI solution performance. • Research emerging AI technologies and applications. • Collect, process, analyze, and interpret data from various sources. • Develop and maintain data pipelines and integration processes. • Support data modeling, preparation, and transformation. • Create dashboards, reports, and analytical insights. • Monitor and improve data quality and accuracy. • Support data-driven business decisions. • Collaborate with technical and business teams to understand requirements. • Design and implement AI and data solutions. • Support system integration and automation initiatives. • Conduct testing, troubleshooting, and performance optimization. • Prepare technical documentation and implementation guidelines. • Follow applicable data governance policies and standards. • Ensure appropriate data privacy and security practices. • Support responsible and ethical AI implementation. • Maintain data integrity, confidentiality, and accessibility. • Identify opportunities to improve processes using AI and analytics. • Evaluate new tools, technologies, and methodologies. • Participate in proof-of-concept and innovation initiatives. • Share technical knowledge and best practices. • Support continuous improvement of digital capabilities. Qualifications & Experience: • Bachelor's degree in Artificial Intelligence, Data Science, Software Engineering, Computer Science, Information Technology, or a related field. • 0–1 year of relevant experience in AI, data analytics, data engineering, software development, or related fields. • Professional certifications in one or more of the following areas are preferred: • Azure AI Engineer (AI-102), AWS Machine Learning, Azure DevOps Engineer (AZ-400), CKAD, or Power BI (PL-300). • Practical experience developing or implementing AI and data solutions. • Experience working with databases, analytical tools, and application integration.

Develop and implement AI-based solutions and applications. Support machine learning and generative AI initiatives. Identify opportunities for intelligent automation. Integrate AI capabilities into existing systems and applications. Evaluate and improve AI solution performance. Research emerging AI technologies and applications. Collect, process, analyze, and interpret data from various sources. Develop and maintain data pipelines and integration processes. Support data modeling, preparation, and transformation. Create dashboards, reports, and analytical insights. Monitor and improve data quality and accuracy. Support data-driven business decisions. Collaborate with technical and business teams to understand requirements. Design and implement AI and data solutions. Support system integration and automation initiatives. Conduct testing, troubleshooting, and performance optimization. Prepare technical documentation and implementation guidelines. Follow applicable data governance policies and standards. Ensure appropriate data privacy and security practices. Support responsible and ethical AI implementation. Maintain data integrity, confidentiality, and accessibility. Identify opportunities to improve processes using AI and analytics. Evaluate new tools, technologies, and methodologies. Participate in proof-of-concept and innovation initiatives. Share technical knowledge and best practices. Support continuous improvement of digital capabilities.