About this opportunity
HireHi lists this machine learning engineer in logistics opportunity in remote, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
sennder is redefining road logistics as Europe’s leading digital freight forwarder. Its unified platform connects the company’s operations and data to make freight transportation smarter, faster, and more sustainable.
Задачи:
Develop and iterate on bid estimation algorithms and margin-optimization models for the dynamic pricing engine
Build predictive models to forecast carrier behavior and market capacity
Maintain and improve recommender systems supporting operational teams
Explore and validate machine learning applications for freight routing, network optimization, and other logistics challenges
Partner with Product Managers to translate operational pain points into ML hypotheses and prototypes
Evaluate and integrate LLMs, traditional ML models, and heuristics into engineering workflows and internal products
Deploy models through the internal ML infrastructure in collaboration with the Data & AI Platform team
Provide feedback and contributions to global engineering standards
Own the full project lifecycle from R&D and prototyping through production release and monitoring
Требования:
5+ Years of hands-on experience in Data Science or Machine Learning Engineering
Strong foundation in statistical analysis, hypothesis testing, and deep data exploration
Working knowledge of machine learning approaches for regression and classification
Experience deploying models to production environments
Ability to write modular code and apply software engineering best practices
Strong proficiency in Python, SQL, and Git
Experience with cloud data warehouses such as Snowflake
Experience using Jupyter Notebooks for data exploration
Experience building interactive data apps or dashboards such as Streamlit and PowerBI
Understanding of how to set up, evaluate, and use Large Language Models and related AI tools in production
Ability to translate complex logistical problems into data-driven solutions
Strong communication skills for collaboration with Product Managers, end-users, ML Engineers, Data Scientists, and Platform Engineers
Условия:
Offices are available in Berlin, Barcelona, and Amsterdam
Performance bonuses, referral rewards, or equity may be included in the compensation package
Hybrid work environment
Access to healthy snacks, focus zones, and social areas in the offices
Well-being initiatives including the sennCare program and a partnership with nilo
#J-18808-Ljbffr
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.