Principal Machine Learning Engineer - Forecasting
Core
Design, build, and scale enterprise-grade machine learning, large language model, and agentic AI systems for forecasting, uncertainty-aware decision support, and operational automation.
Role type
Principal Machine Learning Engineer (Forecasting & AI Systems)
Builds
Production ML, LLM, and agentic AI systems for forecasting and decision automation
Domain
Biotechnology / Pharmaceutical Supply Chain & Operations
Deliverable
production ML models
Required skills
Machine learning engineering, system architecture, MLOps, Python, SQL, deep learning, probabilistic modeling, LLM integration, AI agent orchestration, cloud distributed systems
Preferred skills
Biotech/pharma domain knowledge, AI agent architectures, internal dashboard development, AI governance and explainability, thought leadership
Technologies
PyTorch, TensorFlow, JAX, Spark, Ray, MLflow, Airflow, FastAPI, vLLM, SGLang, TensorRT-LLM
Responsibilities
Define technical strategy for enterprise forecasting systems; Architect and scale production ML/LLM/agentic AI systems; Lead development of AI agent components for workflow automation; Establish robust MLOps and AI engineering capabilities; Provide principal-level technical mentorship and design review leadership
Seniority
Principal, hands-on IC with strategy & mentorship
