ML Data Associate job at Amazon | Hyderabad | ₹4-5 LPA | On-site

Are you ML Data Associate and looking for exciting challenges and new opportunities and working hard. Amazon Consulting is hiring a ML Data Associate for its growing team. This is the full time opportunity and based on the Hyderabad with on site and offers a good competitive CTC

Contents

About Amazon Job Role – ML Data Associate II Education Compensation (CTC)Preferred Qualification Job Description Job Responsibility and roles of ML Data Associate Job Requirements for ML Data Associate Preferred Skills Perks at Amazon Office Perks Financial Benefits Career Path FAQs Q1. Is this an on site job?Q2. Are freshers eligible?

About Amazon

Amazon, founded in 1994, has grown from an online bookstore into a leading global e-commerce platform, offering a vast A-Z product catalog. The company’s success is driven by its customer-centric approach, leading to advancements in delivery, supply chain, and customer support. Technological innovation is central to its operational efficiency, enabling pioneering services in entertainment, publishing, finance, IT, cloud computing, AI, and Machine Learning. Amazon’s talent network, guided by customer obsession, innovation, operational efficiency, and long-term thinking, is key to its operations.

The “Day 1” mentality encourages employees to experiment and learn from failures, fostering an entrepreneurial spirit. Employees are supported in upskilling and self-reinvention through educational and leadership programs designed to engineer impactful solutions. Amazon’s extensive global and local presence, including key offices in India, is structured to promote collaboration and invention.

Website : Customer Service Jobs | Jobs at Amazon
Location : Divyasree Trinity Building, Plot No. 6, Hi-Tech City Layout, Survey Number 64, Madhapur Village, Serilingampally, Ranga Reddy District, Phase 2, Hitec City, Hyderabad, Telangana 500081
Team : 170,000+ employees

Job Role – ML Data Associate II

Position: ML Data Associate II
Type: Full Time, Temporary/Contractual
Location : Hyderabad
Industry Type: BPO/ BPM
Department: Customer Success/ Services & Operations
Experience : 0-4 Years

Education

UG- Any graduate
PG- Any Postgraduate

Compensation (CTC)

About ₹4-5 LPA (Not Disclosed yet )
Annual performance based bonus
Health & wellness benefits

Preferred Qualification

Bachelor’s degree in a relevant field (may vary by location, e.g., India).
C1+ or equivalent English fluency.
6 months to 1 year of professional experience demonstrating task execution.
Proven ability to utilize open-source resources for research.
Adaptability to fast-paced, changing environments.
Experience in project coordination or management.
Experience managing cross-departmental stakeholder relationships.
Advanced proficiency in Microsoft Office Suite and business applications.

Job Description

AI is a powerful technology that can help solve big problems. Amazon is putting money into generative AI and focusing on developing large language models in a responsible way. Join us in shaping the future of how humans and technology interact. This is a fixed term contractual role for 12 months.

Job Responsibility and roles of ML Data Associate

Maintain strict confidentiality as customer privacy is crucial.
Deliver high-quality labeled data according to guidelines to meet performance goals, supporting Amazon’s responsible AI development.
Show skill in generating quality insights across different formats.
Make sound judgments with unclear information and pay attention to detail, switching between tasks as needed.
Support daily operations for assigned tasks and analyze issues to improve labeling quality.
Identify operational problems and suggest changes, while providing support for internal queries as required.

Job Requirements for ML Data Associate

An Associate’s Degree or relevant work experience is required.
Strong business writing skills are needed to create reports, proposals, and professional correspondence.
Analytical thinking and structured problem-solving abilities should be developed.
There should be a strong capacity to interpret and implement detailed instructions across different projects.
Proficient research skills are necessary for gathering and synthesizing information from various sources.
Attention to detail is crucial for managing complex tasks and documents.