Applied ML Engineer — End-to-End Logistics AI

Summary by AIEngineer.careers

Applied ML Engineer — End-to-End Logistics AI is a Machine Learning Engineer role (full-time). with Everoad By Sennder. in MADRID, ES. Imported listing (source: empleo24.es). Apply on the employer's site (empleo24.es).

Imported listing (source: empleo24.es) · Apply on empleo24.es

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MADRID · ES

—

Full-time

MID

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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from empleo24.es

This role focuses on developing production-ready machine learning models for logistics solutions, specifically pricing and recommender systems. The engineer will translate complex business problems into data-driven hypotheses and build rapid prototypes.

Responsibilities

Develop and deploy production-ready ML models for logistics
Build pricing and recommender systems
Translate complex problems into data-driven ML hypotheses
Create rapid prototypes for validation

Requirements

Experience in applied machine learning
Ability to work with research-oriented topics
Strong background in building production-ready models

Tech Stack

Machine LearningRecommender SystemsPricing Algorithms

EB

Everoad By Sennder

Paris · FR · 500+ employees

Everoad by sennder was a digital freight forwarder that has been integrated into the operations of sennder following its 2020 acquisition, and it now operates as sennder France. It specializes in digital road freight logistics, connecting shippers with carriers through a proprietary technology platform.