Amazon is hiring for an FRESHER entry level ML Data Associate role in India

Position:

• ML Data Associate I
• Entry level role focused on data operations supporting machine learning systems
• Contract based position with a defined six month duration
• Designed for fresh graduates and early career professionals
• Role aligned with artificial intelligence driven product development

Company:

• Amazon
• Global technology organization operating across ecommerce, cloud, devices, and artificial intelligence
• Employer known for large scale systems, strong operational discipline, and customer focused execution
• Part of Amazon Devices and related AI driven initiatives
• Workplace that encourages learning, ownership, and structured execution

Location:

• India
• Chennai region
• ADCI MAA SEZ facility
• Work conducted from a secure office environment

Job type:

• Full time contractual role
• Fixed term employment for six months
• Performance driven operational position

Job mode:

• Onsite
• Work performed from Amazon office location
• Role requires physical presence for secure systems and tools

Job requisition id:

• 3126707

Years of experience:

• Freshers eligible
• Zero to three years acceptable (0-3 years)
• Prior professional experience not mandatory

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Company description:

• Amazon operates as a global technology organization with operations spanning ecommerce, cloud computing, artificial intelligence, smart devices, and digital services
• The company builds products and platforms that support millions of customers, sellers, creators, and developers across the world
• Core principles include customer obsession, invention, long term thinking, and strong operational discipline
• Amazon encourages fast decision making, experimentation, and learning through structured processes
• Teams work on real world problems at large scale, often combining data, automation, and human judgment
• The organization invests heavily in artificial intelligence, machine learning, and automation to improve customer experience
• Amazon Devices teams focus on building smart products that interact naturally with people and environments
• Employees are expected to take ownership of tasks, maintain high quality standards, and deliver consistently
• The company promotes inclusion, accessibility, and equal opportunity across roles and locations
• Amazon maintains a culture where continuous improvement and accountability are core expectations

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Profile overview:

• The ML Data Associate I role supports machine learning and artificial intelligence systems through structured data work
• The position involves executing predefined workflows that help generate reliable training and validation data
• Associates contribute to product improvement by ensuring accuracy, consistency, and completeness of captured data
• Daily work includes following detailed instructions and adapting to frequent updates in processes
• The role requires focus, discipline, and attention to detail while handling repetitive tasks
• Associates work closely with internal tools designed for data capture and reporting
• Quality benchmarks and productivity targets form a key part of performance evaluation
• Clear documentation, reporting, and escalation of issues are essential responsibilities
• The role supports teams working on smart devices, monitoring systems, and AI driven interactions
• This position offers exposure to how machine learning systems are supported through structured human input

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Key responsibilities:

• Execute assigned tasks based on clearly defined operational guidelines
• Collect and validate ground truth data required for machine learning workflows
• Follow step by step instructions provided for each task or project release
• Accurately record outcomes and observations using internal software tools
• Maintain consistency and precision while performing repetitive activities
• Adapt to changing instructions without impacting quality standards
• Meet daily productivity targets aligned with internal planning requirements
• Identify errors, inconsistencies, or system issues during task execution
• Escalate failures or doubts through designated internal portals
• Close reported issues within defined service level timelines
• Communicate task status and progress through regular reporting mechanisms
• Coordinate with dependencies to ensure smooth daily operations
• Follow organizational processes related to data handling and tool usage
• Ensure compliance with confidentiality and operational guidelines
• Maintain focus during high volume task execution cycles

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Qualifications:

• Bachelor degree from a recognized institution
• Strong ability to read, write, and speak English fluently
• English proficiency equivalent to advanced level communication standards
• Comfortable understanding detailed written instructions
• Basic familiarity with office productivity tools
• Ability to work with structured processes and defined workflows
• Willingness to learn internal tools and operational methods
• Capability to maintain accuracy during repetitive tasks
• Strong sense of responsibility toward quality and timelines
• Readiness to work in a team oriented operational environment

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Preferred qualifications:

• Willingness to work flexible shifts when required
• Availability to work weekends, nights, or holidays based on business needs
• Familiarity with cultural context and communication styles related to the United States
• Comfort working in structured and monitored operational settings

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Additional info:

• This role is offered as a fixed duration contract for six months
• Performance expectations are clearly defined through productivity and quality metrics
• Training and task guidelines are provided before execution begins
• Role offers early exposure to artificial intelligence driven product development
• Work involves secure systems and controlled operational environments
• Opportunities to learn large scale operational discipline used in global technology companies
• Suitable for candidates starting careers in data, operations, or AI support roles
• Role emphasizes execution excellence rather than research or model development
• Amazon promotes an inclusive and accessible hiring process
• Workplace support and accommodations are available when required

Please click here to apply.