Sr Machine Learning Engineer

Career Category

Job Description

Join Amgen's Mission to Serve Patients

You’ve worked hard to become the professional you are today and are now ready to take the next step in your career. How will you put your skills, experience and passion to work toward your goals? 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, reaching over 10 million patients worldwide. Come do your best work alongside other innovative, driven professionals in this meaningful role.

Senior Machine Learning Engineer

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 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:

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

Functional Skills:

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 interpersonal skills

Good-to-Have 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

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

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

careers.amgen.com