Data Ops/ML Engineer

Qualifications

• Matric, with a degree in Computer Science, Business Informatics, Mathematics, Applied Statistics/Applied Mathematics Physics, or Data Engineering.
• Certification in data, data science or artificial intelligence Experience/ Requirements
• 3 to 5 + years of data engineering experience
• 3 to 5 + years of Machine learning/ Artificial Intelligence and Statistical algorithm development.
• 3+ years of experience with any data warehouse technical architectures, ETL/ELT, and reporting/analytics tools including, but not limited to, any of the following combinations (1) SSIS and SSRS, (2) SAS ETL Framework, (3) SAP ETL Framework, (4) MongoDB ETL deployments, (5) Apache Spark and Apache Hive deployments will be beneficial.
• Working with large volumes of structured and unstructured data and leveraging them to build artificial intelligence (AI)/machine learning (ML) and predictive modelling (PM) solutions through end-to-...

Ready to Apply?

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