Machine Learning Engineer (Barcelona)

Machine Learning Engineer (Barcelona)

05 oct
|
Sennder
|
Barcelona

05 oct

Sennder

Barcelona

Overview In this role you will join sennder’s ML team to translate data-driven insights into high-impact production models. You’ll work across pricing, forecasting, and recommender systems, while exploring new ML-driven solutions for logistics challenges. You will collaborate with product, end-users, and platform engineers to ship end-to-end models from research through production. Your work will help accelerate profitability, capacity planning, and operational efficiency in Europe’s leading digital freight platform.

Compensaciones / Incentivos

hybrid work environment performance bonuses referral rewards equity sennCare program nilo partnership

Responsabilidades

Pricing engine optimization: develop bid estimation and margin models to drive profitability Carrier forecasting: build predictive models for carrier behavior and market capacity Recommender systems: maintain and improve systems supporting daily operations Industry innovation & applied ML: explore ML solutions for routing and network optimization Product discovery & ideation: translate operational pain points into ML hypotheses and prototypes AI & LLM integration:



use foundational models and AI tools to accelerate workflows and build internal products Platform collaboration: work with Data & AI Platform (MLOps) to deploy models and influence standards End-to-end execution: manage projects from R&D; to production release and monitoring

Requisitos principales

5+ years of hands-on experience in Data Science or ML Engineering Strong foundation in statistical analysis, hypothesis testing, and data exploration Working knowledge of ML approaches for regression and classification Production-ready ML deployment experience Proficiency in Python, SQL, and Git Experience with cloud data warehouses (e.g., Snowflake) Jupyter Notebooks for data exploration; creating interactive dashboards (e.g., Streamlit, PowerBI) Knowledge of how to set up and evaluate LLMs in production Business acumen to translate logistics problems into data-driven solutions Strong collaboration and communication skills with cross-functional teams Strong communication Collaborative mindset Problem-solving orientation Python SQL Git

📌 Machine Learning Engineer (Barcelona)
🏢 Sennder
📍 Barcelona

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