Machine Learning Performance Engineer

As a global leader in Trademark and Brand Protection, we partner with businesses to safeguard their most valuable assets in an increasingly complex digital environment. Our comprehensive solutions, powered by AI-driven data and deep analytics, enable brands to establish, monitor, and protect their presence against infringement and counterfeiting. Innovative Solutions : We combine cutting-edge technology with expert judgment to deliver market-leading services in trademark clearance, brand protection, and anti-counterfeiting. Global Impact : Trusted by over 5,000 customers worldwide, including 73 of Fortune\’s Top 100 companies, our work has a meaningful impact on businesses and consumers alike. Mission-Driven Purpose : Our commitment to protecting consumers and their trust in brands drives everything we do, making Corsearch a force for good in the world. 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. You will design and optimize AI models that power our state-of-the-art image search engine and other innovative solutions. Collaborating with Corsearch’s global team of data scientists, engineers, and brand protection experts, you’ll help drive innovation in brand protection and online content monitoring , ensuring our clients stay ahead in a rapidly evolving digital landscape. Develop and optimize machine learning models with a focus on computer vision (e.g., text classification, sentiment analysis, entity recognition). 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. Proven experience as a Machine Learning Engineer with at least 3 years of professional experience. Strong proficiency in machine learning frameworks such as CatBoost , TensorFlow , PyTorch , or Keras . 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. Full professional English proficiency We welcome applications from all individuals regardless of race, nationality, religion, gender, gender identity or expression, sexual orientation, age, disability, or any other protected characteristic.