Experience:

• 8+ years of experience in machine learning engineering, software engineering, or related field
• Demonstrated track record of deploying production ML systems delivering business value
• Strong experience building and maintaining end-to-end ML pipelines and production systems for forecasting or predictive modeling

Role Focus:

• Design, build, and maintain scalable ML systems and forecasting pipelines for demand forecasting across multiple planning horizons
• Productionize advanced forecasting models including training, validation, deployment, and lifecycle management
• Build and optimize data pipelines, feature engineering workflows, and batch and real-time inference systems
• Own end-to-end ML engineering lifecycle including solution design, prototyping, model integration, testing, deployment, monitoring, observability, and continuous improvement
• Develop robust MLOps capabilities including model versioning, CI/CD, automated retraining, performance monitoring, drift detection, and rollback strategies
• Partner with data scientists and business stakeholders to operationalize forecasting, simulation, and scenario-analysis capabilities
• Establish and promote software engineering best practices including code quality, documentation, reproducibility, and system reliability
• Research and evaluate emerging tools, platforms, and methodologies in ML engineering, forecasting, and AI

Additional responsibilities:

• Work cross-functionally to translate advanced forecasting methods into reliable production-grade solutions supporting critical business processes
• Support Amgen's mandate of 'every patient, every time'

Nice to have:

• Experience building and deploying forecasting models for biotech/pharma use cases
• Knowledge of healthcare commercial concepts such as payer/provider dynamics, formulary access, and coverage
• Experience partnering with data scientists to translate advanced statistical or ML models into production services
• Experience with ML and forecasting systems in retail, consumer goods, supply chain, or manufacturing
• Familiarity with model monitoring, explainability, and governance in regulated or high-impact business environments

More skills:

Machine learning engineering, Software engineering, Forecasting models, Statistical, Bayesian, and machine learning forecasting, ML pipeline orchestration and workflow tools, ML deployment patterns, Model serving, Model versioning, Automated retraining, Performance monitoring, Drift detection, Rollback strategies, Software engineering fundamentals, System design, Testing, Performance optimization, Maintainability

Other:

• On-site work location
• Amgen is an Equal Opportunity employer
• Reasonable accommodation provided for individuals with disabilities during application and employment process