Cucumber/Wire Mock) IntelliJ / WebStorm. Build Tools (Maven/ Gradle/ Gulp/grunt/webpack). Jenkins (CI (version handling), Bitbucket, SVN. IoC / Dependency Injection. Jira, Confluence Micro Services German language
Reference: CPT005209-RP-1 Machine Learning Engineer As an AI/ML Machine Learning Engineer, you'll lead You'll develop scalable classifiers and tools leveraging machine learning, data regression, and rules-based models. R700 000 - R800 0000 Develop and implement machine learning models to solve business problems. Clean Master's in Computer Science, Data Science, or Machine Learning. Proven experience in developing and deploying
technologies and innovative solutions in Cloud, Machine Learning, and NLP/NLU to drive impactful IT projects Scripting Languages: HTML, JavaScript, CSS, XML - Machine Learning: R, Python, SKLearn, PySpark - Cloud: Operating System: Windows, Linux, and Unix - BI/DWH/ETL Tools: Informatica 9.5/9.1/8.6, Tableau, Cognos - DBMS Squirrel SQL - Version Control: SVN, CVS, Git - Tools: ATC Confluence, Jira, Bitbucket, Github ADVANTAGEOUS Strong working knowledge with software development tools, techniques, and approaches used to build application
seek individuals that arent afraid to break the mould and push the boundaries of whats possible.
(decorators, advanced class manipulation, dependency injection etc) (essential) 3-5 years' experience in AWS
Strong working knowledge with software development tools, techniques and approaches used to build application solutions Working knowledge with software development tools, techniques and approaches used to build application (decorators, advanced class manipulation, dependency injection etc) (essential) 3-5 years' experience in AWS
speed on each computer machine (speed test and troubleshoot each of the 80 machines before exams) – Be first first to arrive on exam days ensuring all PC machines are working efficiently before the scheduled exams
Scripting Languages: HTML, JavaScript, CSS, XML - Machine Learning: R, Python, SKLearn, PySpark - Cloud: Operating System: Windows, Linux, and Unix - BI/DWH/ETL Tools: Informatica 9.5/9.1/8.6, Tableau, Cognos - DBMS Squirrel SQL - Version Control: SVN, CVS, Git - Tools: ATC Confluence, Jira, Bitbucket, Github ADVANTAGEOUS Strong working knowledge with software development tools, techniques, and approaches used to build application solutions - Working knowledge with software development tools, techniques, and approaches used to build application
processes
Qualifications and management of the tools to manage the infrastructure: Azure Virtual Machines, Virtual Networks, ExpressRoute
seek individuals that aren't afraid to break the mould and push the boundaries of what's possible. If successful