Digital Associate I, MLDOps
Amazon
Amazon
Join our team as a Digital Associate I focused on ML Ops, contributing to essential data collection and quality assurance processes. You'll play a key role in maintaining high standards for data integrity and process efficiency.
This position offers a unique opportunity to engage with cutting-edge cloud technology at Amazon Web Services (AWS), a leader in cloud computing and innovation. AWS is committed to fostering a supportive environment where career growth and work-life balance are paramount.
Our inclusive culture at AWS empowers every individual to contribute their best. We value diverse experiences and encourage all candidates, especially those with non-traditional career paths or just starting out, to apply.
Engage in data collection activities following provided scripts and instructions, ensuring strict adherence to compliance and confidentiality. Perform quality audits and verifications to uphold internal process quality standards and meet daily productivity and quality targets.
Track and report on annotation and data collection queries, escalating them to relevant stakeholders for prompt resolution. Monitor daily task completion status using designated tools and submit individual progress reports.
Assist in testing new standard operating procedures (SOPs) and ML data tools, providing valuable feedback to streamline existing processes and ensure consistent, high-quality outcomes. Maintain a proactive approach to identifying and resolving errors or inconsistencies.
A Bachelor's degree or equivalent practical experience is required. Fluency in speaking, writing, and reading English is essential.
Strong analytical skills, keen attention to detail, and effective communication abilities are fundamental. Familiarity with the Windows desktop environment and applications like Word, Excel, IE, and Firefox is necessary.
We are looking for individuals with robust problem-solving skills, capable of thriving in a fast-paced, collaborative setting. Flexibility, a proactive nature, and a drive for ownership are key attributes. The ability to meet deadlines, prioritize tasks, and manage multiple projects concurrently is expected.
Amazon
Cloud Computing