A

Amazon

Sells products online and rents cloud computing

Team Manager - Rbks AI Data

AI & Machine LearningConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • A graduate degree in any field of study; quantitative fields such as science and engineering are preferred but not mandatory.
  • Five to seven years of industry experience, including at least one to two years in a team lead or people management role.
  • Familiarity with the Windows desktop environment and tools such as Word, Excel, Internet Explorer, and Firefox.
  • Strong verbal and written communication skills.

Responsibilities

  • Manage a team of 20 to 25 machine-learning data associates, coordinating tasks across multiple machine-learning workflows within a well-defined process area.
  • Ensure machine-learning data workflows comply with quality requirements; analyze machine-learning data, SIM issues, and metrics; identify trends and gaps; and provide status reports.
  • Identify risks and ensure escalations reach the appropriate people while adhering to confidentiality and compliance requirements.
  • Meet established service-level agreements and task-completion targets for specific customers within provided capacity.
  • Work with internal and external teams to execute business goals using relevant knowledge and expertise.
  • Use data to set and revisit operational goals and manage activities.
  • Manage escalations and complex tickets, analyze data, identify trends and gaps, and report key metrics.
  • Present data in business meetings and reviews.
  • Design and implement process-improvement projects that affect team performance and participate in new workflow rollouts.
  • Coach direct reports in demonstrating leadership principles and assign challenging work to support their development and preparation for larger roles.
  • Guide the team on work types and prioritization; handle straightforward, well-defined work as well as ad hoc and ill-defined requests.
  • Develop and implement performance-improvement plans and provide regular coaching and feedback to direct reports on quality, performance, behavior, and career development.
  • Manage team performance using metrics and deliverables, make hiring and firing decisions, and hold team members accountable for performance and adherence to rules and guidelines.
  • Lead annotation work in India in partnership with the Operations Manager; become an expert in annotation processes, train and support the team, and maintain accuracy and throughput standards.
  • Work with stakeholders to understand annotation requirements, train associates to deliver efficient annotations, hold feedback sessions with research team members to understand machine-learning model key performance indicators, and propose scalable efficiency improvements.

Desired Qualifications

  • Strong attention to detail and organizational skills.
  • Good project management skills.
  • Strong judgment and ability to prioritize in complex, fast-paced environments.
  • Strong people-management skills and ability to lead by example.
  • Ability to adapt to changing project requirements.
  • Proactive approach, ownership, drive, and willingness to meet daily deadlines.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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