refresh

トレンド企業

Trending

採用

JobsAmazon

Support Engineer - Intelligent Document Processing, CORS - Rapid Solutions

Amazon

Support Engineer - Intelligent Document Processing, CORS - Rapid Solutions

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

2w ago

We are seeking talented and innovative Support Engineer to join our team working at the intersection of artificial intelligence and compliance. In this role, you will leverage large language models (LLMs) and other advanced machine learning techniques to develop and maintain automated systems for validating compliance documents.

  • Key job responsibilities

  • Implement and fine-tune large language models to accurately process and analyze complex compliance documentation

  • Develop and optimize machine learning algorithms for automated document validation and anomaly detection

  • Collaborate with compliance experts to translate regulatory requirements into AI-driven validation processes

  • Troubleshoot and resolve issues related to the AI-powered compliance validation system

  • Stay up-to-date with the latest advancements in NLP, LLMs, and AI to continually improve our validation processes

  • Provide technical support and guidance to internal teams and clients using the automated compliance validation tools

  • A day in the life

  • Bachelor's or Master's degree in Computer Science, AI, or a related field

  • Strong programming skills, particularly in Python and machine learning frameworks (e.g., Tensor Flow, Py Torch)

  • Hands-on experience in AWS Cloud services, along with basic proficiency in React.js and TypeScript to support front-end issue resolution.

  • Must have a good understanding of Java for backend troubleshooting.

  • Experience working with large language models and natural language processing techniques

  • Familiarity with compliance processes and regulatory environments (e.g., GDPR, HIPAA, SOX)

  • Excellent problem-solving skills and attention to detail

  • Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Basic Qualifications

  • 2+ years of software development, or 2+ years of technical support experience
  • Experience scripting in modern program languages
  • Experience troubleshooting and debugging technical systems

Preferred Qualifications

  • Experience troubleshooting & maintaining hardware & software RAID
  • Knowledge of web services, distributed systems, and web application development
  • Experience with REST web services, XML, JSON
  • Experience in troubleshooting services using AWS services (e.g.,AWS Step Functions and State Machine, DynamoDB, S3, Lambda, API Gateway CloudWatch, EC2).

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge