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  • > 100,000 employees

Data Associate - Machine Learning

Hyderabad

Opportunity Expired

Amazon is hiring business professionals near you. Start your career. Come find your moment at Amazon.

Opportunity details

Opportunity Type
Graduate Job
Salary
INR 300,000 - 400,000

Prosple salary estimate

Minimum requirements

Accepting International Applications
No
Qualifications Accepted
B
Business Administration & Management
I
Artificial Intelligence
Computer Science (all other)

Hiring criteria

Entry pathway

See details

Working rights

India

  • Indian Citizen
  • Indian Permanent Resident
  • Indian Temporary Work Visa
Read more

About Amazon

Amazon offers a variety of products and services through its online marketplace and content distribution platform, including online retail, cloud computing services, consumer electronics, e-book sales, and digital media downloads. Amazon's goal is to make changes that have a positive impact on society at large. This includes using its position as one of the biggest companies in the world to help reduce poverty worldwide through programs such as Amazon Smile.

The Alexa Data Services (ADS) organization provides data creation, curation, and analytics services to help develop, test, and train Alexa AI. They work closely with Amazon Machine Learning (ML) Science and modelling teams, providing the critical data they need to improve Alexa’s speech recognition and language understanding capabilities.

Your role

As a Machine Learning-Data Associate, your role is,

  • Work with a range of text, speech, and other types of data.
  • Deliver high-quality labelled data, using guidelines provided to meet their KPIs, and using in-house tools and software.
  • Report issues with tools and software as and when they occur.
  • Show Ownership and initiative when providing feedback for improvements to existing tooling that can increase the amount and quality of the data they process - they believe every ground-breaking change starts with a small idea!
  • Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information.

To effectively change the world, you need to be a bit different - your adaptability, focus, and attention to detail in a constantly shifting environment are unparalleled; you pride yourself on your ability to recognize issues - and come up with elegant and innovative solutions. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way they use Artificial Intelligence. So, an inner drive, individuality, and a creative mind are extremely beneficial.

Training, development & rotations

Amazon is committed to empowering employees to do their best work – and to do your best work you need to be constantly learning, growing, and becoming a better version of yourself. With the support of the team, Amazon helps you to reach your potential through a variety of offerings, such as:

  • A performance philosophy geared toward development, not ratings
  • Constantly have to learn. When surrounded by extremely smart people
  • Learn what customer-centric means.
  • Job rotation programs designed to reignite and broaden your work experience
  • Yearly education and training reimbursement to keep your skillset sharp
  • Subscriptions to the leading online training platforms for technical and business acumen
  • POD (Power of Difference) communities to network, mentor, and grow as leaders.

Salary & benefits

The average annual salary for a Machine Learning- Data Associate role is INR 3 to 4 LPA (Source: Ambition box). The company takes care of you and your loved ones and will support you with a competitive and comprehensive benefits package. Below are some highlights:

  • Paid time off
  • Health care plans
  • Financial planning and assistance
  • Maternity and parental leave
  • Employee discount on Amazon merchandise
  • Employee Assistance Program (EAP)
  • Leave programs for military service members, veterans, and their families

Career progression

Amazon believes everyone should have the opportunity to learn new skills and build their career at Amazon or elsewhere. The reason why as part of their mission of being Earth's Best Employer, they have made a $1.2 billion commitment to investing in the upskilling of their employees with free skills training, tuition support programs, a variety of certifications, and more to help improve the abilities of their employees. They also support:

  • Higher Education 
  • Apprenticeships & Certifications
  • Mentorships & Development

Work-life balance

  • Work-life balance is rated at 4.6/5.0 (Source: Ambition Box).
  • Work days are usually from Monday to Friday. They have flexible work timings.
  • This role is considered flexible and will be a mix of working from the local Amazon office and home depending on your preferences and the arrangements determined with your future manager.
  • Leave policy with 45 paid leaves.
  • You will be expected to live within a reasonable non-daily commute of the office.

Culture & vibe

  • Amazon has a very relaxed but still professional work environment. It has a friendly and fun work culture. It is committed to being diverse, inclusive, and equal in its approach.
  • The company believes that incentives are not enough to make workplace culture powerful. It understands that corporate culture and values define a business.
  • They have gained an appreciation for their policies and initiatives that reinforce their employees to strive harder for their mission.

About you

For a Machine Learning-Data Associate, the basic qualifications required are:

  • Bachelor’s degree in a relevant field or equivalent
  • Proficiency in English & Hindi grammar and spelling (both written and verbal)
  • Comfortable working with a speech from various dialects and accents of one or more of the following regional languages: Marathi or Telugu or Tamil or Kannada or Punjabi or Gujarati or Bengali or Malayalam
  • Excellent computer skills, including MS Office, with good typing speed (> 40 wpm and & get 90% accuracy) and basic troubleshooting abilities.

How to apply

To apply for this role, simply click the "Apply on employer site" button on this page which navigates to the career page where the application can be submitted. 

The basic recruitment process is done as per the following steps,

  • Online Application
  • Phone Interview
  • In-Person Interview (Technical)

    Hiring criteria

    You should have or be completing the following to apply for this opportunity.

    Entry pathway
    Degree or Certificate
    Minimum Level of Study
    Bachelor or higher
    Study Field
    B
    Business Administration & Management
    I
    Artificial Intelligence
    Computer Science (all other)

    Work rights

    The opportunity is available to applicants in any of the following categories.

    country
    eligibility

    India

    India

    Indian Citizen

    Indian Permanent Resident

    Indian Temporary Work Visa


    Graduate Success Stories


    • Graduate stories
    For the first-year and second-year students' if an internship isn't that rewarding it's understandable but the aim should be to make it rewarding for yourself in terms of experience and learning.

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    • Graduate stories
    For the first-year and second-year students' if an internship isn't that rewarding it's understandable but the aim should be to make it rewarding for yourself in terms of experience and learning.

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    • Graduate stories
    For the first-year and second-year students' if an internship isn't that rewarding it's understandable but the aim should be to make it rewarding for yourself in terms of experience and learning.

    Shubhangi Goel

    • Graduate stories
    For the first-year and second-year students' if an internship isn't that rewarding it's understandable but the aim should be to make it rewarding for yourself in terms of experience and learning.

    Shubhangi Goel

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