Are you looking to start your career with one of the world’s leading tech giants? Amazon is hiring for the role of ML Data Associate 2 in Chennai. This is an exciting opportunity for freshers and experienced candidates (0–5 years) to work in the field of Artificial Intelligence (AI) and Machine Learning (ML).
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
✅ Direct Walk-In to the venue between 8 AM – 2 PM (26-28 June)
Bring the following:
This is a golden opportunity to kickstart your career with Amazon, especially if you are looking for jobs related to data operations, AI, and machine learning without coding. Don’t miss this Walk-in Drive from 26 June to 28 June at Amazon, Chennai.
Apply now, and step into the future with Amazon AI!
26 June – 28 June , 8.00 AM – 2.00 PM
Amazon Development Center, Infinity Tower.Ramanujan IT City,Rajiv Gandhi Salai, Taramani, Chennai, Tamil Nadu 600 113, India
Contact – Udhay
From an online bookstore to one of the world’s largest e-commerce platforms, Amazon has emerged as the top player in the industry since its inception in 1994. Amazon has built an extensive online marketplace across continents, empowering its customers with a catalog encompassing products from A-Z. Amazon strives to be the world’s most customer-centric company, a purpose that has powered multiple breakthroughs in our delivery, supply chain, and customer support services. In the pursuit of operational efficiency, tech innovations have become the cornerstone of the organization. This has led to the pioneering of new services, most notably within the entertainment, publishing, finance, IT, cloud computing, AI, and Machine Learning industries.
