As an ML Engineer you’ll play a crucial role in advancing our shared mission of protecting and enhancing the world’s most valuable brands.

✅Responsibilities and Duties

• Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition).
• Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching, and online content analysis.
• Collaborate with cross-functional teams to improve product and system performance.
• Research and implement state-of-the-art algorithms and techniques to improve the accuracy and performance of AI solutions.
• Build scalable data pipelines for the ingestion and processing of image and text data for model training and evaluation.
• Continuously monitor the performance of models in production, identify bottlenecks, and propose optimizations.

✅Essential

• Proven experience as a Machine Learning Engineer 4+ years of professional experience.
• Strong proficiency in machine learning frameworks such as CatBoost, TensorFlow, PyTorch, or Keras.
• Experience with image processing, feature extraction, and text preprocessing techniques.
• Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis.
• Hands-on experience with large datasets and data pipelines for training and deploying ML models.
• Very good Python coding skills
• Strong analytical and problem-solving skills, with the ability to translate business challenges into technical solutions.
• Full professional English proficiency