Manage the application portfolio ensuring that quality standards are met, projects are completed according
of project delivery, adhering to timelines and quality expectations. Requirements: Minimum of 5 years
to ensure suitable levels of data accuracy and quality Degree/Diploma in Computer Science, Data Science
reviews. Run specialized projects. Maintain SOPs and quality standards. Automate processes and workflow. Develop
and feedback sessions • Create and develop high quality and effective training materials such as slides
and feedback sessions • Create and develop high quality and effective training materials such as slides
Exceptional accuracy and strong attention to detail • Quality orientated and self-driven to achieve results •
and the Data Engineering team to curate a high-quality dataset to serve your research. You'll advise and Integrations with other internal systems to ensure data quality via Application calls or coding. Apply auditing robust data monitoring process. Monitor for data quality control issues that helps identify good vs bad
engineering teams to ensure data availability and quality. Model Evaluation and Deployment: - Evaluate model
relationships with vendors to ensure the delivery of quality products and services. Training: The training of