Join AWS as a Digital Associate I in ML Ops, contributing to cutting-edge cloud operations. This role is integral to ensuring the accuracy and quality of data processing and ML model deployments.

Amazon Web Services (AWS) is the world's most comprehensive cloud platform, trusted by businesses globally for its innovation and robust services. We foster an inclusive culture where diverse experiences are valued, and continuous learning and career growth are paramount.

We believe in work-life harmony, ensuring that professional success complements personal well-being. Our inclusive environment empowers employees to embrace their uniqueness and contribute to a culture of learning and curiosity.

Key responsibilities include accurately performing data annotation and audit tasks based on Standard Operating Procedures (SOPs).

You will execute tasks, report results, and understand procedures for new tasks and releases. Performing repetitive exercises with dynamic instructions while maintaining quality is essential.

Utilize software tools for data capture, adhere to organizational processes, and communicate effectively. This includes capturing results, escalating failures, providing status reports, and meeting productivity and quality benchmarks.

Promptly raise and resolve any execution-related failures or doubts within the defined Service Level Agreements (SLAs). You will also be responsible for achieving daily targets, managing both internal and external dependencies.

Essential qualifications include fluency in speaking, writing, and reading English. A Bachelor's degree or Bachelor of Arts is required.

You should possess knowledge of QA methodology and tools, with demonstrated experience in a Quality Assurance Engineer (QAE) role. A Master's degree or equivalent in a quantitative field (e.g., statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science) or a PhD is also a requirement.

Familiarity with basic computer business applications like MS Word, MS Excel, and MS Outlook is necessary. The role also demands experience in managing complex and fast-moving issues.