Specialist Software Engineer – Full Stack AI/ML/GenAI

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.

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., TensorFlow, PyTorch) 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.