Experteer 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 / Ventajas
- 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 u0026 applied ML: explore ML solutions for routing and network optimization
- Product discovery u0026 ideation: translate operational pain points into ML hypotheses and prototypes
- AI u0026 LLM integration: use foundational models and AI tools to accelerate workflows and build internal products
- Platform collaboration:



work with Data u0026 AI Platform (MLOps) to deploy models and influence standards
- End-to-end execution: manage projects from Ru0026D to production release and monitoringResponsabilidades
- 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 teamsRequisitos principales
- hybrid work environment
- performance bonuses
- referral rewards
- equity
- sennCare program
- nilo partnership

📌 Machine Learning Engineer (Barcelona)
🏢 Sennder
📍 Barcelona