Career Category

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.

Sr Machine Learning Engineer

Live

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.

What you will do

We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. 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 DevOps/MLOps best practices to automate ML workflows and improve efficiency.
• Develop and implement monitoring systems to track model performance and identify issues.
• 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:

• 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

Preferred Qualifications:

• Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
• Experience with data engineering and pipeline development
• 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
• Familiar with AWS, Azure, or Google Cloud;
• Familiar with Databricks platform for data analytics and MLOps

Education and Professional Certifications

• Master’s degree and 4 to 6 years of Data Science or Machine Learning experience OR
• Bachelor’s degree and 6 to 8 years of Data Science or Machine Learning experience OR
• Diploma and 10 to 12 years of Data Science or Machine Learning experience

Professional Certifications

• Cloud Computing certificate preferred
• Machine Learning and Data Science related 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
• Strong presentation and public speaking skills

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