Job Description

Join Amgen's Mission of Serving Patients


At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission--to serve patients living with serious illnesses--drives all that we do.


Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.


Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

What you will do

Role Description:

Specialist IS Engineer for GEN AI solutions across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations functions is responsible for building cutting edge GEN AI solutions.


The role involves working closely with Data Scientists developing, implementing and sustaining GEN AI solutions to help find relevant, actionable information quickly and accurately.

Roles & Responsibilities:

Possesses strong rapid prototyping skills and can quickly translate concepts into working code 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. Identify and resolve technical challenges effectively. Stay updated with the latest trends and advancements Work closely with product teams, business team, and other key partners. Design, develop, and deploy applications that use LLMs like OpenAI GPT Build and maintain MLOps pipelines, including data ingestion, chunking, vectorization, feature engineering, model training, deployment, and monitoring Design, fine-tuning, and optimization of state-of-the-art LLMs for various applications, focusing on both performance and accuracy Implement DevOps/MLOps/LLMOps standard methodologies to automate ML workflows and improve efficiency. Develop and implement monitoring systems to track model performance and identify issues. Conduct testing and experimentation to optimize model performance. Review code and maintain strong standards and practices on the team Work closely with data scientists, engineers, and product teams to deliver ML solutions. Stay updated with the latest trends and advancements

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

Doctorate Degree OR Master's degree with 4 - 6 years of experience in Software Engineering, Data Science or Machine Learning Engineering OR Bachelor's degree with 6 - 8 years of experience in I Software Engineering, Data Science or Machine Learning Engineering OR Diploma with 10 - 12 years of experience in Software Engineering, Data Science or Machine Learning Engineering Great foundation in machine learning algorithms and techniques

Must-Have Skills:

Expertise in Python and relevant ML libraries (e.g., Langchain, TensorFlow, PyTorch) Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Excellent problem-solving skills and the ability to work with large, complex datasets. Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models. Experience in processing and leveraging unstructured data for GenAI applications Proven experience working with large language models (e.g., OPEN AI, LLAMA.). Experience in building, testing, and deploying machine learning models, particularly large language models, troubleshoot and optimize models. Experience in using cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment

Preferred Qualifications:

Solid understanding of Machine Learning (ML) workflows including ingesting, analyzing, transforming data and evaluating results to make meaningful predictions. Design, test, and deploy machine learning models, including LLMs, and develop scalable pipelines for both batch and real-time use cases.

Professional Certifications:

Machine Learning Certification (preferred on Databricks or Cloud environments). SAFe for Teams certification (preferred).

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

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.


In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

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.

Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.


Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.


We will ensure that individuals with disabilities are provided 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.