Description

Interested in improving the technology and features powering Amazon Devices Come work on it. We are building the speech and language solutions behind Ring and other Alexa-enabled products and services.

Key job responsibilities

Manages team size of 20 to 25 ML Data Associates.

Executes plans for team to perform tasks related to multiple ML workflows in a well-defined process area.
Ensures ML data workflows are quality compliant. Analyzes ML data, SIM issues, and metrics. Highlights trends, gaps, etc. Provides status reports.
Identifies risks and ensures escalations reach the right people. Adherence to confidentiality and compliance requirements
Responsible for known SLAs and task completion targets (within provided capacity) for specific customers.
Works with internal/ external teams and uses his/her knowledge and expertise to execute business goals
Uses data to set/revisit operational goals and manage activities
Manages escalation/ complex tickets; analyzes data; highlights trends, gaps, etc.; and reports key metrics
Presents data in business meetings/reviews
Design and implement process improvement projects that impact team level performance. Participates in new workflow roll out projects teams.
Coaches direct reports on demonstrating leadership principles in their role.
Assigns appropriate challenging work to employees to develop & prepare them for larger roles.
Provides team guidance on work types and prioritization. Work of team primarily focuses on straightforward, well-defined objectives, but may take on ad hoc and ill-defined requests.
Devises and implements performance improvement plans for associates. Provides regular coaching and feedback to direct reports with regard to quality, performance, behavior and career development.
Performance manages team based on metrics & deliverables on a regular basis, and make decisions on hiring & firing.
Holds team members accountable for performance based on metrics and adherence to rules and guidelines.

A day in the life

Amazon is seeking an experienced team manager to manage team of 20-25 annotation experts. The Team Manager will lead the annotations effort in India and partner closely with the Operations Manager. S/he will become an expert in the annotation processes, train and support the team, maintain accuracy and throughput standards.

Connect with our stakeholders to understand the key annotation requirements and train associates to deliver efficient annotations. He/she conduct close-loop sessions with research team members to know more about the ML model KPIs (Key Performance Indicators) and propose scalable solutions to improvise the efficiency.

Basic Qualifications

BE, BSC candidates, B tech - Mtech, Msc , IT, ECE, ELECTRICAL ELECTRONIC ENGIEERING
Comes with an industry experience of 5 to 7 years with at-least 1 to 2 years in team lead/people management role.
A graduate in any field of study. Quantitative fields such as science and engineering preferred but not mandatory
Good familiarity with the Windows desktop environment and use of Word, Excel, IE, Firefox etc. are required
Excellent verbal and written communication skills

Preferred Qualifications

Strong attention to detail and organizational skills
Good project management skills
Strong judgment and instincts and able to prioritize in complex, fast-paced environment
Strong people management skills and ability to lead by example
Ability to adapt to dynamic project requirements
High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company - ADCI HYD 16 SEZ - H83

Job ID: A10554172

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