Manager I, Machine Learning Data Ops, Manager I, Mld Ops, Go Ai

Year    India, India

Job Description


DESCRIPTION Want to join the Earth\'s most customer centric company Are you someone who like to design the right workforce strategy to meet long-term process targets Do you like to develop the talent to create a high performing team If yes, we have opportunities for you. Global Operations - AI (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Manager I / Front line manager is accountable for the overall direction and operations of our site, creating a culture of customer obsession, high performance and high-quality throughput. Key job responsibilities - Manage a team of 25-30 GO-AI Associates. - Managing a shift, constantly identifying opportunities to improve team performance and owning associated change management. - Developing and/or referring to performance metrics to drive team performance and business results. - Communicating with Internal customers (ACES, Training , Quality etc) - Drive and execute bar-raising initiatives aimed at hiring and developing top talent and build career development road-map for the associates. - Escalating problems or variances in the information and data to the relevant owners and following through on resolutions. - Executing specific people programs on coaching and development and team engagement. - Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis, as needed, is a plus. Amazon is an Equal Opportunity Employer - Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age A day in the life Manager-I, Operations is responsible for managing a team and resolving any potential issues that impact business continuity. The job involves organizing, planning and prioritizing delivery of production and quality KRAs of the team. The candidate should have a basic understanding of the people management and should be able to communicate clearly in the written and oral form. Candidate should be able to come up with process improvements and drive business KRAs. About the team The Global Operations - AI (GO-AI) team handles exceptions remotely in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. We are open to hiring candidates to work out of one of the following locations: Virtual Location - onsite HYD We are open to hiring candidates to work out of one of the following locations: Hyderabad, TS, IND BASIC QUALIFICATIONS - 2+ years of team management experience - Bachelor\'s degree, or 2+ years of Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays- Knowledge of - - Microsoft Office products and applications, especially MS Excel, Word & PowerPoint at an advanced level PREFERRED QUALIFICATIONS - Experience in managing critical operational processes, with SLA responsibility - Knowledge of databases (querying and analyzing) such as SQL, MYSQL, and Advanced excel and working with large data sets - Experience gathering and analyzing large amounts of data and delivering business improvements. - Knowledge of lean six sigma tools / Green belt certified. - Preferred work location: BNM HYD

foundit

Beware of fraud agents! do not pay money to get a job

MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.


Related Jobs

Job Detail

  • Job Id
    JD3268897
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    India, India
  • Education
    Not mentioned
  • Experience
    Year