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トレンド企業

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求人Amgen

Specialist Software Engineer – Full Stack AI/ML/GenAI

Amgen

Specialist Software Engineer – Full Stack AI/ML/GenAI

Amgen

India - Hyderabad

·

On-site

·

Full-time

·

1mo ago

必須スキル

Python

JavaScript

SQL

NoSQL

TensorFlow

PyTorch

MLflow

Kubeflow

Airflow

Career Category

Engineering

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:

The Software Engineer is responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime.

Roles & Responsibilities:

  • Take ownership of complex software projects from conception to deployment
  • Manage software delivery scope, risk, and timeline
  • Quickly translate concepts into working code by strong rapid prototyping skills
  • Provide technical guidance and mentorship to junior developers
  • Contribute to both front-end and back-end development using cloud technology
  • Develop innovative solution using generative AI technologies
  • Conduct code reviews to ensure code quality and adherence to best practices
  • Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations
  • Stay updated with the latest trends and advancements
  • Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software
  • Identify and resolve software bugs and performance issues
  • Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time
  • Integrate systems and platforms to ensure seamless data flow and functionality
  • Collaborate with data scientists to develop, train, and evaluate machine learning models.
  • Build and maintain MLOps pipelines leveraging cloud platform, including data ingestion, feature engineering, model training, deployment, and monitoring.
  • Deploy machine learning models into production environments, ensuring that they are scalable and maintainable
  • Design and implement systems and processes to improve the reliability, scalability, and performance of applications
  • Automate routine operational tasks, such as deployments, monitoring, and incident response, to improve efficiency and reduce human error
  • Develop and maintain monitoring tools and dashboards to track system health, performance, and availability

Basic Qualifications and Experience:

  • Master’s degree with 6 - 8 years of experience in Computer Science, IT or related field OR
  • Bachelor’s degree with 8 - 12 years of experience in Computer Science, IT or related field

Functional Skills:

Must-Have Skills:

  • Solid foundation in modern software design and engineering practices, with a specific focus incorporating AI and ML into solutions, including low code, microservice, serverless cloud, and containerization platforms.
  • Strong experience on Agile software development teams.
  • Strong proficiency in machine learning algorithms and frameworks (e.g., Tensor Flow, Py Torch) and MLOps (e.g., MLflow, Kubeflow, Airflow.)
  • Hands on experience with Full Stack software development. Proficient in programming language Python (preferred), JavaScript, SQL/NoSQL.

Good-to-Have Skills:

  • Strong understanding of cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)
  • Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk)
  • Experience with data processing tools like Hadoop, Spark, or similar

Soft Skills:

  • Excellent analytical and troubleshooting skills
  • Strong verbal and written communication skills
  • Ability to work effectively with global, virtual teams
  • High degree of initiative and self-motivation
  • Ability to manage multiple priorities successfully
  • Team-oriented, with a focus on achieving team goals
  • Strong presentation and public speaking skills

Shift Information:

This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

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 an accommodation.

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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