Senior Machine Learning Engineer - Pricing Intelligence - AMP

Tasks

• Add monitoring and rollback capabilities
• Build evaluation systems
• Build intelligent explanations and decision tools
• Build safe experimentation systems
• Create historical replay
• Debug pricing and production incidents
• Design forecasting models
• Develop pricing intelligence models
• Develop production machine learning services
• Estimate demand elasticity
• Explore data
• Frame machine learning problems
• Implement contextual bandits
• Implement reinforcement learning
• Improve data pipelines
• Run backtesting and shadow deployment
• Support controlled model rollouts
• Trace customer reported issues to root cause

Perks/Benefits

• N/A

Skills/Tech-stack

AWS ECS | AWS Fargate | Alembic | Amazon EventBridge | Amazon S3 | Amazon SQS | Anthropic API | Backtesting | CI/CD | CloudWatch | Contextual Bandits | Docker | Elasticity estimation | Experiment design | FastAPI | GitHub Actions | Langchain | Langgraph | Model Evaluation | NumPy | OpenAI API | Pandas | Polars | PostHog | PostgreSQL | Probabilistic Forecasting | Prometheus | Pydantic | Python | Redis | Reinforcement Learning | SQL | SQLAlchemy | Series forecasting | Shadow Deployment | StatsModels | Statsmodel | Time Series | Time Series Forecasting