Join Our AI-Driven Future: ML Operations Manager Needed at AWS AI, Bedrock Data Team

Amazon Web Services (AWS) is pioneering advancements in cloud platform technologies through its Utility Computing (UC) division, where innovative services such as Amazon S3 and EC2 set industry benchmarks. The Bedrock Data Team at AWS is integral to this venture, focusing on delivering exceptional training data for machine learning models. If you have a passion for technology and a drive to lead in a high-impact environment, we invite you to apply for the role of ML Operations Manager.

About the Role

As an ML Operations Manager in AWS's groundbreaking Bedrock Data Team, your primary responsibility will be the management and enhancement of data annotation and analysis processes. You'll collaborate closely with Ops Managers and lead a team dedicated to ensuring the precision and efficiency of data services - essential for training state-of-the-art AI models.

Key Responsibilities:

• Managing transcription, data annotation, and data collection effectively.
• Planning and allocating resources based on project requirements.
• Ensuring timely delivery of data annotation services.
• Conducting audits to adhere to strict data protocols.
• Developing and promoting team members, aligning with AWS's leadership principles.
• Providing mentorship and feedback, fostering a culture of continuous improvement.

Why AWS?

At AWS, innovation is our norm, and curiosity fuels our advancements. Not only are we the leading cloud platform, but we're also continuously setting new standards in service and security, trusted by startups and major global enterprises alike. By joining our team, you become part of an inclusive and collaborative culture dedicated to professional growth and personal balance.

Inclusive Team Culture: Our employee-led affinity groups and diverse inclusive events like CORE and AmazeCon empower us to appreciate our distinctive backgrounds.

Mentorship & Career Growth: Continuous learning and mentorship opportunities are omnipresent, aiming to help you grow as a well-rounded professional.

Work/Life Balance: We believe in work-life harmony. Flexible and hybrid work options near our U.S. offices allow our team the convenience to balance professional and personal life effectively.

Who Should Apply?

AWS values diversity and welcomes applications from candidates with varied experiences. If you are eager to drive innovation in AI and data management, have managerial experience, and meet the following criteria, we'd love to hear from you:

• Bachelor’s degree or significant training/work experience in related fields.
• Strong leadership abilities with experience in managing teams.
• Experience in data-driven environments, preferably with knowledge in ML data and language data annotation.

Even if your journey doesn't align perfectly with every qualification listed, we encourage your application as you may bring valuable diversity of thought to our teams.

Compensation and Benefits

Amazon believes in total compensation. We offer a competitive salary ranging from $47,500 to $101,000 based on geographical market and experience. Our comprehensive benefits package includes healthcare, parental leaves, ways to save for the future, and opportunities to give back to your community.

For detailed benefit information, please visit .

Apply Now: Be a part of a visionary company committed to diversity and innovation. Visit our career page to submit your application for the ML Operations Manager - AWS AI, Bedrock Data Team. We are looking forward to your contributions to our unyielding pursuit of operational excellence in the AI landscape.

Amazon is an Equal Opportunity Employer

At Amazon, we believe our differences enhance our ability to achieve the extraordinary. We are committed to building inclusive teams that celebrate diversity and are dedicated to creating an equitable environment. Qualified individuals from all backgrounds are encouraged to apply, and we provide accommodations for candidates with disabilities.

Please apply and take a significant step towards a fulfilling career, pushing the boundaries of cloud technology and AI at Amazon Web Services.