Data and AI Specialist

We are looking for a Data & AI Specialist to join our team. Reporting to the Chief Information Officer, the successful candidate will contribute to the design and development of the organization’s enterprise data infrastructure and deliver practical data, machine learning, and AI solutions that support business objectives. Key Responsibilities • Design and develop scalable enterprise data architecture and centralized data platforms. • Build and maintain data warehouses, data lakes, lakehouses, and ETL/ELT pipelines. • Integrate data from multiple business systems and develop reliable data models. • Develop, train, evaluate, deploy, and support machine learning models. • Prepare enterprise data for analytics, AI, and Generative AI applications. • Establish data quality controls and maintain data dictionaries, metadata, lineage, and technical documentation. • Support data governance, access management, security, and compliance requirements. • Work with business and technology teams to translate requirements into effective data and AI solutions. • Provide technical updates and recommendations to the CIO and relevant stakeholders. • Qualifications and Experience • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or a related discipline. • Approximately 5–8 years of relevant experience in data engineering, data warehousing, machine learning, or a related field. • Demonstrated experience building or significantly contributing to enterprise data platforms. • Strong proficiency in SQL and Python, with solid database design and data modeling skills. • Hands-on experience developing and deploying machine learning models. • Experience with Microsoft Fabric, Azure Data Factory, or equivalent technologies. • Strong analytical, problem-solving, documentation, and communication skills. • Relevant professional certifications are an advantage.

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or a related discipline. Approximately 5–8 years of relevant experience in data engineering, data warehousing, machine learning, or a related field. Demonstrated experience building or significantly contributing to enterprise data platforms. Strong proficiency in SQL and Python, with solid database design and data modeling skills. Hands-on experience developing and deploying machine learning models. Experience with Microsoft Fabric, Azure Data Factory, or equivalent technologies. Strong analytical, problem-solving, documentation, and communication skills. Relevant professional certifications are an advantage.

Design and develop scalable enterprise data architecture and centralized data platforms. Build and maintain data warehouses, data lakes, lakehouses, and ETL/ELT pipelines. Integrate data from multiple business systems and develop reliable data models. Develop, train, evaluate, deploy, and support machine learning models. Prepare enterprise data for analytics, AI, and Generative AI applications. Establish data quality controls and maintain data dictionaries, metadata, lineage, and technical documentation. Support data governance, access management, security, and compliance requirements. Work with business and technology teams to translate requirements into effective data and AI solutions. Provide technical updates and recommendations to the CIO and relevant stakeholders.