Machine Learning Engineer Full-time

Career Category
Information Systems
Job Description

Join Amgen’s Mission to Serve Patients

If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission-to serve patients-drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together-researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.

Live

What you will do

Let’s do this. Let’s change the world. In this vital role you will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.

Roles & Responsibilities:

• Collaborate with data scientists to develop, train, and evaluate machine learning models.
• Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
• Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
• Implement best practices to automate ML workflows and improve efficiency.
• Conduct A/B testing and experimentation to optimize model performance.
• Work closely with data scientists, engineers, and product teams to deliver ML solutions.
• Stay updated with the latest trends and advancements

Win

What we expect of you

Basic Qualifications:

• Master’s degree in computer science, statistics or STEM majors with a minimum of 3 years of Information Systems experience OR
• Bachelor’s degree in computer science, statistics or STEM majors with a minimum of 5 years of Information Systems experience.

Preferred Qualifications:

• Strong foundation in machine learning algorithms and techniques
• Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills
• Experience with data engineering and pipeline development

Good-to-Have Skills:

• Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
• Knowledge of NLP techniques for text analysis and sentiment analysis
• Experience in analyzing time-series data for forecasting and trend analysis
• Experience with AWS, Azure, or Google Cloud
• Experience with Databricks platform for data analytics and MLOps

Professional Certifications (please mention if the certification is preferred or mandatory for the role):

• Any AWS Developer certification (preferred)
• Any Python and ML certification (preferred)
• Any SAFe Agile certification (preferred)

Soft Skills:

• Initiative to explore alternate technology and approaches to solving problems.
• Skilled in breaking down problems, documenting problem statements, and estimating efforts.
• 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.
• Team-oriented, with a focus on achieving team goals

Thrive

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.

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

Apply now

for a career that defies imagination

In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.

careers.amgen.com

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.

.