Applied Scientist RBS Tech
KeySkills
Company Name
Job Description
- Job description
- As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results.
- As an Applied Scientist, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems.
- You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will independently file for patents and/or publish research work where opportunities arise. The RBS org deals with problems that are directly related to the selling partners and end customers and the ML team drives resolution to organization level problems.
- Therefore, the Applied Scientist role will impact the large product strategy, identifies new business opportunities and provides strategic direction which is very exciting. Masters degree
- Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning
Job Details
Experience :
2 To 7
Number Of
Vacancies :
5
Job Type :
Permanent
Industry Type : IT/Software
Salary
:
4 Lac - 12 Lac++
P.A
Education Summary
UG :
Any UG Degree
PG :
LLM,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, IndonesiaGSA SME Sr Architect
Experience -
10 to 12
Key Skills -
Application Ticket Analysis,
AMS Ticket Optimization,
ITSM Ticket Data Analysis,
Elimination & Automation Opportunities,
Traditional RPA,
ITPA Automation,
Observability,
AIOps,
Gen AI,
Agentic AI,
Automation Tool Architecture,
Cost Modelling,
Implementation Roadmap,
Service Line Estimation,
Deep Dive Analytics,
Root Cause Analysis,
Operational Efficiency,
Productivity Improvement,
Enterprise Automation Tools,
Solution Architecture,
Collaboration with Solution Architects,
TOGAF,
ITIL,
AI & Automation Tool Certifications,
Power BI,
Dashboards,
Estimation & Pricing for AMS Deals,
Resource Loading,
Excel,
PowerPoint,
Business Process Knowledge,
Trending Technologies Awareness,
Proposal & RFP/RFI/RFS Response Preparation,
Analytical & Problem-Solving Skills.,
Lead Quality Engineer
Experience -
4 to 7
Key Skills -
Cucumber,
Selenium,
Programming & Scripting: Java,
API Testing: Rest API,
Test Strategy & Planning: Test Planning,
Test Strategy,
Regression Testing,
Functional Testing,
Defect Management & Analysis: Bug Tracking,
Defect Analysis,
Root Cause Analysis,
Collaboration & Communication: Code Reviews,
Team Collaboration,
Knowledge Sharing,
Mentoring,
Process Improvement & Best Practices: Test Process Optimization,
Automation Framework Development,
Industry Best Practices,
IT Consulting Domain Knowledge: Client Requirement Analysis,
Domain Expertise in IT Consulting,
Solution Architecture
Experience -
6 to 8
Key Skills -
Customer Engagement,
Solution Architecture,
Microsoft Azure,
Cloud Computing,
AI Solutions,
Industry Solutions,
Enterprise Architecture,
Security Architecture,
Technical Consulting,
Presales Support,
Architecture Design,
Reference Architectures,
Agile and Waterfall Methodologies,
Proof of Concept,
Cost Optimization,
ROI Analysis,
Risk Management,
Project Governance,
Stakeholder Management,
Technical Leadership,
Practice Development,
Intellectual Property Creation,
Thought Leadership,
Technical Sales,
Project Management,
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,