Position Details
About this role
This role involves developing machine learning models and infrastructure to enhance automation and decision-making in logistics operations, leveraging cloud platforms and data pipelines.
Key Responsibilities
- Develop ML models
- Build MLOps pipelines
- Collaborate with cross-functional teams
- Optimize data workflows
- Communicate insights
Technical Overview
The technical environment includes Python, SQL, Azure, AWS, Data Warehouses, ETL pipelines, and open-source ML tools like Ray, Flink, and Feast, with a focus on scalable ML deployment and data analysis.
Ideal Candidate
The ideal candidate is a mid-level data scientist or machine learning engineer with 3+ years of experience applying ML and MLOps in logistics or supply chain environments, proficient in cloud deployment and data pipelines.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud platforms (Azure or AWS), No experience with data warehouses or ETL pipelines, No machine learning or MLOps experience, No relevant advanced degree
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