Sr Machine Learning Engineer
Core
Design, build, and maintain scalable machine learning systems and forecasting pipelines to support demand forecasting across near-, medium-, and long-term planning horizons. (via careerplan.io/jobs/R-246927-sr-machine-learning-engineer-at-amgen)
Role type
Senior Machine Learning Engineer (Forecasting)
Builds
Production-grade forecasting models and uncertainty-aware decision support systems for internal business planning
Domain
Biotechnology/Pharmaceuticals, Demand Forecasting
Deliverable
production ML models
Required skills
Machine learning engineering, Forecasting, MLOps, Python, SQL, Model serving, Data pipeline engineering, System design, Cloud platforms, Distributed data processing
Preferred skills
Bayesian/probabilistic modeling, Biotech/pharma domain knowledge, Supply chain/retail forecasting experience, Model monitoring and governance
Technologies
scikit-learn, PyTorch, TensorFlow, CI/CD tools, Containerization
Responsibilities
Productionize advanced statistical and ML forecasting models, Build and optimize data pipelines and inference systems, Develop MLOps capabilities including versioning and drift detection, Partner with data scientists to operationalize forecasting, Establish software engineering best practices
Seniority
Senior, hands-on IC
