onsite
Machine Learning Engineer - Feed E-Commerce
ML Engineer
Develop and optimize machine learning pipelines for e‑commerce feed ranking, focusing on data mining, feature engineering, and classifier performance using Python and advanced ranking algorithms.
About the role
Key Responsibilities
- Design, implement, and maintain end‑to‑end machine learning workflows for product feed ranking.
- Perform data mining and preprocessing to extract high‑quality features from large e‑commerce datasets.
- Develop, train, and evaluate classification and ranking models, iterating to improve relevance and conversion metrics.
- Collaborate with data engineers and product teams to integrate models into production systems and monitor performance.
- Research and apply state‑of‑the‑art algorithms to enhance personalization and recommendation accuracy.
Requirements
- Strong experience with Python and machine‑learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch).
- Proven expertise in data mining, feature engineering, and building classification/ranking models.
- Solid understanding of ranking algorithms and evaluation metrics for e‑commerce applications.
- Ability to translate business goals into scalable ML solutions and troubleshoot production issues.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
machine learningpython