Join our dynamic ML Ops team as a Digital Associate I. This role involves meticulous execution and reporting of results, ensuring adherence to all procedures and guidelines for new tasks and releases. You will perform repetitive tasks with a focus on quality and utilize software tools for data capture, following organizational processes daily.

Your responsibilities will include capturing results, communicating effectively, escalating failures, and providing individual status reports. Maintaining productivity and quality baselines is crucial. You will also be responsible for raising and resolving execution-related failures and doubts within the defined SLAs, ensuring daily targets are met against both internal and external dependencies.

Execute tasks accurately and generate comprehensive reports.

Understand and follow established procedures and guidelines for all tasks and releases.

Perform routine exercises based on dynamic instructions while maintaining high-quality standards.

Utilize software tools for efficient data capture and adhere to all organizational processes.

Communicate outcomes, escalate issues promptly, and provide individual status updates.

Meet productivity and quality benchmarks consistently.

Log and resolve all execution-related failures and queries within specified Service Level Agreements (SLAs).

Meet daily targets, managing dependencies effectively.

A Bachelor's degree is required, and fluency in speaking, writing, and reading English is essential. You should possess knowledge of QA methodology and relevant tools, with a strong familiarity with the Windows desktop environment and core applications like Word and Excel.

We are looking for individuals who can handle multiple tasks in a fast-paced setting. Basic familiarity with Microsoft Office products is expected. While quantitative fields like science and engineering are preferred, they are not mandatory for this role. The position is open to fresh graduates, emphasizing a willingness to learn and adapt.