ML Data Associate
KeySkills
Company Name
Job Description
- Job description
- AI is the most transformational technology of our time, capable of tackling some of humanitys most challenging problems
- Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses
- Come build the future of human-technology interaction with us, We are looking for those candidates who just dont think out of the box, but make the box they are in Bigger
- The future is now, do you want to be a part of itThen read on!
- This is a fixed term contractual role for 12 months,
- Maintain and follow strict confidentiality as customer privacy is our most important tenet
- Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video
- Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly, Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio, Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks, Eye for detail and ability to pivot from one category of requirement to another instantaneously, Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
- Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs, Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
- Demonstrate ownership in floor support to clarify internal queries during execution on need basis
- A day in the life
- 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 customerslives with practical, useful generative AI innovations
- An inner drive, individuality, and a creative mind are extremely beneficial, Basic Qualifications
Job Details
Experience :
1 To 6
Number Of
Vacancies :
5
Job Type :
Permanent
Industry Type : IT/Software
Salary
:
3 Lac - 7 Lac
P.A
Education Summary
UG :
Any UG Degree
PG :
Any PG Degree
Contact Details
Contact
Person :
NA
Contact
Number :
4430883088
e-mailId :
melwintp@amazon.com
Address :
Amazon Development Centre (India) Pvt Ltd,
#40, 3rd Floor, SP InfocityM G R Salai,Perungudi, Kandanchavady,
Chennai.
Office Location
Central Jakarta No 1234, Jakarta, IndonesiaSenior EDI Oracle Specialist
Experience -
6 to 8
Key Skills -
EDI,
Oracle ERP,
Oracle E-Business Suite,
Oracle Fusion,
Oracle EDI Gateway,
Oracle B2B Gateway,
Oracle SOA Suite,
Oracle Integration Cloud (OIC),
EDIFACT,
ANSI X12,
EDI Transaction Sets,
ORDERS,
ORDCHG,
DESADV,
DELJIT,
INVOIC,
Data Mapping,
Data Transformation,
EDI Validation,
Integration Frameworks,
eCommerce Integration,
Trading Partner Onboarding,
Supplier Integration,
Customer Integration,
AS2,
FTP,
SFTP,
VAN,
Monitoring and Troubleshooting,
SLA Management,
Documentation,
Compliance,
PL/SQL,
XML,
Java,
Stakeholder Management,
Problem Solving,
Supply Chain Integration.,
Software Engineer II
Experience -
4 to 6
Key Skills -
C,
C++,
C#,
Java,
JavaScript,
Python,
Azure,
Cloud Computing,
Distributed Systems,
Engineering Operations,
AI Automation,
Microservices,
Agile Development,
Secure Coding,
Software Design,
Observability,
Monitoring,
Reliability Engineering,
Live Site Operations,
Stakeholder Collaboration,
System Performance,
Scalability,
Early in Profession Recruiter
Experience -
1 to 2
Key Skills -
Talent Acquisition,
Recruiting,
Candidate Screening,
Candidate Assessment,
Sourcing Strategies,
Employer Branding,
Stakeholder Management,
Data Analysis,
Market Research,
Workforce Planning,
Hiring Strategy,
ATS Tools,
Compliance Management,
GDPR,
OFCCP,
Candidate Experience,
SLA Management,
Diversity and Inclusion,
Pipeline Building,
Client Engagement,
Reporting and Analytics,
Software Engineering IC
Experience -
1 to 2
Key Skills -
C,
C++,
C#,
Java,
JavaScript,
Python,
Azure,
Cloud Computing,
Distributed Systems,
Data Protection,
Disaster Recovery,
Distributed Storage,
Microservices Architecture,
Secure Coding,
Object Oriented Programming,
REST APIs,
Performance Optimization,
Scalability,
Reliability,
Resiliency,
Observability,
Monitoring,
Incident Response,
Live Site Operations,
Cost Optimization,