Machine Learning Engineer
Core
Applied machine learning role focusing on statistical exploration and model deployment to optimize pricing, carrier forecasting, and recommendation systems for a digital freight platform.
Role type
Senior Machine Learning Engineer (Data Science & ML Engineering)
Builds
Dynamic pricing engine, carrier forecasting models, recommender systems, and internal AI/LLM tools
Domain
Logistics / Freight / Transportation
Deliverable
production ML models
Required skills
Statistical analysis, hypothesis testing, Python, SQL, Git, Cloud data warehouses (Snowflake), LLM integration, End-to-end model deployment
Preferred skills
Experience with interactive data apps/dashboards (Streamlit, PowerBI), Business acumen in logistics
Technologies
Python, SQL, Git, Snowflake, Jupyter, Streamlit, PowerBI, LLMs
Responsibilities
Develop bid estimation and margin-optimization algorithms; Build predictive models for carrier behavior and market capacity; Maintain and improve recommender systems; Explore new ML solutions for freight routing and network optimization; Partner with Product Managers for product discovery and hypothesis testing; Leverage LLMs and AI agents for workflows and product building; Collaborate with MLOps platform team for deployment; Own projects from R&D prototyping to production release and monitoring.
