Teams at OneMagnify

Partner with engineering and data teams to design and execute automated and manual tests for high-volume data pipelines and APIs. Build and maintain test frameworks, author complex SQL for validation, perform UAT and production smoke tests, analyze defects, and drive release governance. Advocate shift-left testing, integrate tests into CI, document test evidence for audits, and continually improve QA tools and processes. Role requires working 5:00 PM–1:30 AM IST and active participation in Agile ceremonies.

Build, deploy, and operate production ML and generative AI systems. Implement MLOps practices (experiment tracking, model versioning, CI/CD), design scalable serving architectures, monitor model performance and data drift, and collaborate with data scientists, engineers, and clients to operationalize AI across digital and marketing platforms.

The role involves managing ML models, deploying them in production, evaluating technologies, and implementing CI/CD processes while supporting model development and ensuring data security.