Machine Learning Engineer

il y a 4 semaines

Bruxelles, Région de Bruxelles, Belgique eCarsTrade Temps plein

Are you a data-driven problem solver with a passion for machine learning and predictive analytics? Do you thrive on building models that drive real business impact, optimizing processes, and uncovering insights from complex datasets? Are you both detail-oriented and capable of seeing the bigger picture? If you're looking to apply your ML expertise in a fast-growing and dynamic company, we want to hear from you

At eCarsTrade, we value innovation, analytical thinking, and a results-driven mindset. In return, we offer flexibility, competitive incentives, and an environment for professional growth.

Responsibilities

  • Develop and maintain predictive models to estimate used car market prices, customer willingness-to-pay, supplier acceptance prices, lead time etc...
  • Design, implement, and maintain analytical and ML microservices using Python.
  • Collaborate with cross-functional teams (Product, Sales, and Engineering) to identify business needs and model opportunities.
  • Identify and correct inaccuracies in car data (e.g., missing features, incorrect attributes).
  • Build recommendation engines to suggest optimal auction strategies and vehicle pricing.

Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • 5+ years of experience building and deploying end-to-end ML models and analytical solutions.
  • Ability to work independently and manage multiple projects with minimal supervision.
  • Experience building and maintaining microservices (e.g., using Flask, FastAPI, or similar frameworks).
  • Strong Python coding skills, including experience with libraries such as Pandas, NumPy, SciPy, scikit-learn, and possibly PySpark.
  • Deep understanding of regression, classification, time-series forecasting, and clustering methods.
  • Strong communication and presentation skills for both technical and non-technical audiences.

Nice-to-Have

  • Experience in automotive or auction-based industries.
  • Experience with ML lifecycle and MLOps (model versioning, CI/CD pipelines for ML).

Please send your CV to jobs@eCarsTrade.com

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