- Amazon Walk In Chennai
- Job Title: ML Data Associate II (Amazon Walk‑in Drive – Chennai)
- Company: Amazon
- Degree: Any Graduate Can Apply
- Salary: INR 3-8/-LPA
- Location: Chennai, India
- Experience: Entry Level to Mid Level
About the Role
Amazon is actively hiring for the ML Data Associate II position through a walk‑in interview at its Chennai development centre. Candidates with zero–5 years of experience and a bachelor’s diploma in any issue are encouraged to attend.
This characteristic allows Amazon’s generative AI and tool mastering responsibilities by using using the use of the use of presenting immoderate‑remarkable categorised datasets across modalities, together with text, audio, speech, picture and video records. It is a 12‑month agreement feature with a hundred % online website-based online paintings.
Who Should Attend: Amazon Walk In Chennai
- Graduates (Bachelor’s) with 0–5 years of experience
- Freshers are welcome
- Strong attention to detail, analytical thinking, and the capability to manipulate ambiguous commands
- Comfortable operating in a shifting, place of job‑based scheduling environment with functionality rotations
Job Responsibilities: Amazon Walk In Chennai
- Data Labeling: Accurately have a test, annotate, and charge speak, speech, textual content, audio, photo, and video records the usage of Amazon’s internal labelling tools and guidelines to guide ML model training.
- Quality Assurance: Meet or exceed set KPIs for labeling accuracy and productivity, at the identical time as keeping strict confidentiality of Amazon’s proprietary statistics and consumer statistics.
- Multimodal Support: Handle more than one project sorts—from voice transcripts to seen content material, cloth material—in dynamic rotation.
- Error Analysis: Investigate everyday mistakes or incredible troubles, recognize root causes, and advise tool or guiding principle improvements to the business enterprise.
- Operational Ownership: Support everyday floor operations and proactively cope with ambiguity or method gaps right away with internal stakeholders.
- Process Improvement: Participate in feedback loops to improve Standard Operating Procedures (SOPs), tooling, and workflow overall performance.
Qualifications & Skills: Amazon Walk In Chennai
- Educational Requirement: Bachelor’s diploma in any location
- Experience: 0 to 5 years, including fresh graduates, are eligible
Soft Skills:
- Exceptional attention to element
- Strong logical reasoning and choice‑making
- Ability to multitask in the course of outstanding labelling domain names
- High degree of personal integrity and dedication to confidentiality
- Effective communication skills for organisational coordination and question desire
Work Environment & Culture
Amazon promotes a severa and inclusive place of work, in which each voice is valued. At the Chennai hub, you will be part of a colourful organisation contributing to worldwide AI obligations. You’ll acquire assignment-specific schooling, complete‑time onsite, and collaborate with client-oriented corporations in a quick‑paced environment.
Venue: Ramanujan IT City, Amazon Development Centre, Infinity Tower, Rajiv Gandhi Salai, Taramani, Chennai 600113
Documents to Carry:
- Updated duplicate of your resume
- Government‑issued picture ID (e.G. Aadhaar, passport)
- Educational certificates and mark sheets
- Work, enjoy letters (if relevant)
Compensation & Benefits: Amazon Walk In Chennai
- Salary: Approximate package of ₹4,00,000 to ₹5,00,000 regular with annum for freshers to early‑career applicants.
- Perks: You can be eligible for Amazon advantages together including paid break day, health and life insurance, and unique allowances depending on the agreement terms.
Why You Should Apply for Amazon Walk In Chennai?
- Jump into AI at Amazon: If you are interested in device reading, generative AI, and records annotation, this option offers a foot within the door to Amazon’s present-day structures and global duties.
- Hands-on Exposure: Get skilled in artwork with severa statistics formats and the usage of u. S.-of-the-paintings system and real international device learning information pipelines.
- Career Growth: Strong performers frequently transition into full-time roles in records operations, ML engineering, or operations management.
- Team Culture: Collaborate in a multicultural, inclusive group environment guided by the useful resource of using Amazon’s Leadership Principles and gaining knowledge of ethos.
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