Senior Machine Learning Engineer

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

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 crucial 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 standard methodologies 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

  
  

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

Basic Qualifications:

• Doctorate degree

Or

• 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

  
  

Preferred Qualifications:

Must-Have Skills:

• 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 social skills

  
  

• 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

  
  

• Cloud Computing certificate preferred

  
  

• Machine Learning and Data Science related certification preferred

  
  

• 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 lead multiple priorities successfully.

  
  

• Team-oriented, with a focus on achieving team goals

  
  

• Strong presentation and public speaking skills

  
  

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.

for a career that defies imagination

Objects in your future are closer than they appear. Join us.