Machine Learning Engineer
Core
Design, develop, and maintain data pipelines and ML infrastructure powering autonomous digital workers and data-driven decision-making in logistics.
Role type
Machine Learning Engineer (Infrastructure & Data Pipelines)
Builds
Data pipelines, ML infrastructure, and autonomous digital workers for the Shipwell logistics platform.
Domain
Logistics / Supply Chain / Generative AI
Deliverable
production ML models
Required skills
Python, SQL, dbt, AWS, ETL, data integrity, monitoring, version control, agentic tooling (LangChain, LangGraph, LangSmith)
Preferred skills
Large-scale data model refactoring, GenAI project experience
Technologies
AWS, Python, dbt, SQL, LangChain, LangGraph, LangSmith, GitHub, GitLab
Responsibilities
Design and implement ML models; maintain data pipelines; optimize AWS infrastructure; establish data integrity standards; collaborate with engineering, analytics, and product teams; own data and ML processes.
Seniority
Individual Contributor, hands-on
