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トレンド企業

トレンド企業

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求人Amgen

Principal Software Development Engineer - AI/ML

Amgen

Principal Software Development Engineer - AI/ML

Amgen

India - Hyderabad

·

On-site

·

Full-time

·

1mo ago

福利厚生

Healthcare

401(k)

Equity

Learning

必須スキル

JavaScript

TypeScript

React

Node.js

Python

REST APIs

GraphQL

Career Category

Information Systems:

Job Description

About Amgen

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

ABOUT THE ROLE

Role Description:

As a Principal Software Development Engineer/Full Stack Developer, you will build and maintain digital applications that bring Amgen’s AI/ML and GenAI solutions to life.

This role has to collaborate with Amgen’s data scientists, UX designers, and QA engineers to design secure, scalable, and user-centric products that accelerate discovery, manufacturing, and commercial analytics.

Key Responsibilities:

  • Design and implement end-to-end web applications supporting AI/ML outputs and dashboards.
  • Work across front-end (React JS) and back-end (Python / Java / Node) stacks.
  • Integrate models, APIs, and data services from Amgen’s innovation platform.
  • Collaborate with UX, QE, and Data teams to ensure performance, usability, and compliance.
  • Write clean, secure, and maintainable code; participate in code reviews and CI/CD pipelines.
  • Optimize performance, scalability, and deployment within Amgen’s AWS environment.
  • Maintain documentation and contribute to reusable frameworks.

Required Qualifications

  • 9–16 years of full-stack software development experience.
  • Strong proficiency in JavaScript / TypeScript, React JS, Node JS, Python, REST / GraphQL APIs.
  • Familiarity with cloud-native development (AWS / Docker / Kubernetes).
  • Experience integrating with data pipelines or ML models.
  • Knowledge of secure coding, testing, and deployment practices in regulated settings.
  • Excellent collaboration and problem-solving skills.

Preferred Skills

  • Exposure to GenAI / LLM-based applications (chatbots, copilots, retrieval-augmented generation).
  • Experience with MLOps and microservices architectures.
  • Understanding of CI/CD ( Jenkins / GitHub Actions ) and infrastructure-as-code.
  • Familiarity with pharma or life-sciences compliance (GxP, HIPAA) is a plus.

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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1

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模擬応募者数

0

スクラップ

0

Amgenについて

Amgen

Amgen

Public

A biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.

10,001+

従業員数

Thousand Oaks

本社所在地

$138B

企業価値

レビュー

3.6

10件のレビュー

ワークライフバランス

3.2

報酬

4.1

企業文化

3.4

キャリア

2.8

経営陣

3.5

65%

友人に勧める

良い点

Excellent benefits and health benefits

Good pay and compensation

Supportive management and strong leadership

改善点

Limited career growth and promotion opportunities

Work-life balance challenges and long hours

Bureaucratic processes

給与レンジ

1,244件のデータ

L2

L3

L4

L5

L6

L2 · Financial Analyst L2

0件のレポート

$94,068

年収総額

基本給

$37,627

ストック

$47,034

ボーナス

$9,407

$65,848

$122,288

面接体験

5件の面接

難易度

3.0

/ 5

期間

14-28週間

内定率

40%

体験

ポジティブ 20%

普通 80%

ネガティブ 0%

面接プロセス

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Technical/Role-Specific Interview

5

Panel Interview

6

Offer

よくある質問

Technical Knowledge

Behavioral/STAR

Past Experience

Data Analysis/Statistics

Culture Fit