Senior Machine Learning Engineer at Amgen

Setup: Remote, Hybrid
Type: Full-time
Level: Senior

Description

Amgen is seeking a Senior Machine Learning Engineer to build and scale machine learning models from development to production. This role involves collaborating with data scientists, developing MLOps pipelines using cloud platforms like AWS, GCP, or Azure, implementing DevOps/MLOps best practices, and optimizing model performance through A/B testing. The ideal candidate will have strong machine learning algorithm knowledge, proficiency in Python and relevant ML libraries, and excellent analytical and communication skills.

Required Skills

machine learning algorithms
MLOps practices
Python
TensorFlow
PyTorch
Scikit-learn

Additional Information

Required Previous Experiences: 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)
Preferred Qualifications: Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.).
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.

About Amgen

Amgen

life-saving medicinesThousand Oaks, California10001+

Amgen discovers, develops, manufactures and delivers innovative medicines to fight some of the world’s toughest diseases. Harnessing the best of biology and technology, Amgen reaches millions of patients with its medicines, helping make people’s lives easier, fuller and longer.