Machine Learning Engineer

About the role

Corsearch is seeking a Machine Learning Engineer to advance its AI‑driven brand protection platform. You will design, train, and optimise models that power a state‑of‑the‑art image search engine and support other innovative solutions for trademark and brand monitoring.

Key responsibilities

• Develop and optimise machine‑learning models for computer‑vision tasks (image recognition, object detection) and natural‑language processing (text classification, sentiment analysis, entity recognition).
• Train and fine‑tune deep‑learning architectures such as CNNs, RNNs and Transformers for reverse image search, image‑text matching and online content analysis.
• Build scalable data pipelines to ingest and process large image and text datasets for model training and evaluation.
• Collaborate with data scientists, engineers and brand‑protection experts to improve product performance and system reliability.
• Research, implement and benchmark state‑of‑the‑art algorithms, continuously monitoring models in production and proposing optimisations.

Required profile

• At least 3 years of professional experience as a Machine Learning Engineer.
• Strong background in computer‑vision and NLP applications.
• Hands‑on experience with large datasets and end‑to‑end ML pipelines.

Required skills

• Proficiency with ML frameworks such as CatBoost, TensorFlow, PyTorch or Keras.
• Experience in image processing, feature extraction and text preprocessing techniques.
• Knowledge of algorithms for object detection, image classification, text extraction and sentiment analysis.
• Ability to design and deploy scalable data pipelines for training and evaluation.