Amazon

System Development Manager, AGI Data Services

Posted On

Aug. 28, 2024

Location

Hyderabad, Telangana

Experience Level

Freshers/Experienced

Job Type

Systems, Quality, & Security Engineering

Apply By

Oct. 8, 2024

Job Description

Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them.

Artificial General Intelligence Data Services (AGI DS) mission is to provide high-quality labelled data at high-speed and low-cost for machine learning (ML) technologies.

System Development Manager role in AGI DS will have the incredible opportunity to build and maintain software solutions that enables AGI DS organization provide high quality data which creates the best-in-class Artificial General Intelligence for Amazon. This leader will be responsible for providing full-cycle, high-quality data labelling/generation services in multiple languages. We are looking for passionate and talented problem solvers who have experience building and supporting innovative, large-scale, high volume, and distributed software applications.

Key job responsibilities
* A successful candidate will be a hands-on manager with an established background in developing and operating platforms and services, developing and hiring extraordinary talent, have strong technical ability, great communication skills, and a motivation to achieve results in a dynamic fast paced environment.
* Lead a team of highly talented System Development and Support Engineers responsible for managing all aspects of mission-critical systems.
* Manage the design and development of new software solutions supporting our internal teams, including code reviews, testing, deployment and post-launch monitoring.
* Lead and manage the team that drives organizational standards for Engineering and Operational excellence.
* Establish strong relationships with internal partners and peer stakeholders to understand and meet their needs while operating existing systems at a high quality.
* Participate in incident management to resolve outages and communicate with a global audience and participate in calls resolving outages.
* Develop and maintain a culture of innovation and automations to reduce manual effort for customers, operations and internal Technical teams.
* Hiring, growing and retaining engineering team keeping up with the high Amazon bar.

About the team
Does passion for innovation drive you? Want to be a part of once in a life time opportunity to drive AI innovation and build next generation delightful customer experience on Alexa, building ML applications?

Meet Amazon's Artificial General Intelligence (AGI) team whose mission is to build the world’s best Artificial General Intelligence that will enable every Amazon business to deliver more value to its customers and benefits humanity. AGI foundational models and services can be used across all businesses at Amazon. Powering this growing in AGI is need for Data, that ML model depend. AGI Data Services is a key part of AGI org providing data creation, curation, and analytics services to help develop, test, and train the AI models. This organization generates ground truth data which is used to train machine learning models. The team works with various data formats such as audio, video, and images, and packages this information to be used by internal stakeholders (e.g., data modeling and product teams).* A Bachelor's or a Master's degree in Computer Science, Engineering, Mathematics, or a related field, or five or more years of work experience in System development as an equivalent.
* 5 or more years of people management experience leading System development and Support teams.
* Proficiency in one or more general-purpose programming languages such as Java, C/C++, C#, Objective C, Python, JavaScript, Ruby, and Go.
* Experience designing, building, and operating large-scale distributed systems or web services.
* Experience in managing large scale infrastructure and automation.
* Experience engaging and influencing senior executives using both verbal and written communication tools.

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