
51 - 200 employees
Founded 2019
🔒 Cybersecurity
☁️ SaaS
AI • Cybersecurity • SaaS
Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.
🕒 November 10, 2025
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51 - 200 employees
Founded 2019
🔒 Cybersecurity
☁️ SaaS
AI • Cybersecurity • SaaS
Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.
• Develop and maintain data quality checks and validation frameworks • Collaborate with data engineers and analysts to identify and resolve data issues • Monitor data pipelines for anomalies and inconsistencies • Implement data profiling and cleansing processes • Ensure adherence to data governance and compliance standards • Automate data quality reporting and alerting mechanisms • Contribute to continuous improvement of data quality practices
• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field • 5–8 years of experience in data-related roles • Strong problem-solving and analytical skills • Clear communication and documentation abilities • Experience working in cross-functional teams
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development
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