onsite
Senior Machine Learning Engineer, Forecasting - Amgen
ML Engineer
Senior Machine Learning Engineer specializing in forecasting models, building scalable pipelines with Python, deep‑learning frameworks, and cloud services to drive data‑driven predictions for biotech products.
About the role
Key Responsibilities
- Design, develop, and deploy advanced time‑series forecasting models using Python and deep‑learning libraries such as TensorFlow or PyTorch.
- Build end‑to‑end ML pipelines on AWS, leveraging services like SageMaker, EC2, and S3 for data ingestion, training, and inference.
- Collaborate with data engineers and domain scientists to integrate heterogeneous biological and operational data sources.
- Implement model monitoring, performance tuning, and automated retraining workflows using Docker and CI/CD practices.
- Document model architecture, evaluation metrics, and provide actionable insights to cross‑functional teams.
Requirements
- 5+ years of professional experience in machine learning, with a focus on forecasting or time‑series analysis.
- Strong proficiency in Python and ML libraries such as Scikit‑learn, TensorFlow, or PyTorch.
- Hands‑on experience deploying models on AWS cloud platforms and containerizing applications with Docker.
- Solid understanding of statistical modeling, feature engineering, and model validation techniques.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced, interdisciplinary environment.
Skills
pythontensorflowpytorchawsdocker