Sr Machine Learning Engineer
Core
Design, build, deploy, and maintain scalable machine learning systems and forecasting pipelines to support demand forecasting and uncertainty-aware decision support across the company.
Role type
Senior Machine Learning Engineer (Forecasting)
Builds
Scalable ML systems, forecasting pipelines, and production-grade decision support solutions
Domain
Biotechnology / Supply Chain / Demand Forecasting
Deliverable
production ML models
Required skills
Python, SQL, PyTorch, TensorFlow, scikit-learn, MLOps, CI/CD, model versioning, drift detection, system design, distributed data processing, containerization
Preferred skills
Biotech/pharma forecasting experience, healthcare commercial concepts, retail/supply chain forecasting, model explainability and governance
Technologies
PyTorch, TensorFlow, scikit-learn
Responsibilities
Design and maintain scalable ML systems and forecasting pipelines; Productionize advanced statistical, Bayesian, and ML models; Build and optimize data pipelines and inference systems; Own end-to-end ML lifecycle including monitoring and observability; Develop MLOps capabilities; Partner with stakeholders to operationalize forecasting; Establish software engineering best practices
Seniority
Senior, hands-on IC
