Machine Learning Engineer at Jobgether – Tremblay-en-France, Île-de-France

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Engineer in France.

This role offers the opportunity to contribute to advanced AI systems that power large-scale brand protection and digital intelligence solutions used by thousands of global clients. You will work at the intersection of computer vision, natural language processing, and large-scale data engineering to build models that detect, analyze, and interpret complex visual and textual content. Embedded in a highly collaborative, international environment, you will partner with data scientists, engineers, and domain experts to transform research into production-ready systems. Your work will directly improve image search, content monitoring, and anti-infringement technologies that protect some of the world’s most recognized brands. This is a hands-on, impact-driven position where innovation, experimentation, and scalability are at the core of daily work.

• Develop and optimize machine learning models focused on computer vision and NLP tasks, including image classification, object detection, sentiment analysis, and entity recognition.
• Train and fine-tune deep learning architectures such as CNNs, RNNs, and Transformers for applications like reverse image search and image-text matching.
• Design and build scalable data pipelines for large-scale image and text data ingestion, preprocessing, and model training.
• Collaborate with cross-functional teams to improve product performance, model accuracy, and system reliability in production environments.
• Research and implement state-of-the-art ML techniques to continuously enhance algorithmic performance and robustness.
• Monitor deployed models, identify performance issues, and propose optimizations to improve efficiency and accuracy over time.

• At least 3 years of professional experience as a Machine Learning Engineer or in a similar applied ML role.
• Strong proficiency with ML frameworks such as TensorFlow, PyTorch, Keras, or CatBoost.
• Solid experience with computer vision and NLP techniques, including feature extraction, image processing, and text preprocessing.
• Proven ability to work with large datasets and build end-to-end machine learning pipelines.
• Strong understanding of core ML algorithms for classification, detection, and text-based analysis tasks.
• Excellent analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
• Full professional proficiency in English and ability to work in international teams.

• Fully remote work flexibility across eligible European locations.
• Competitive compensation aligned with experience and market standards.
• Opportunity to work on large-scale AI systems used by global enterprise clients.
• International, collaborative, and inclusive work environment.
• Exposure to cutting-edge AI research applied in real-world production systems.
• Strong culture of learning, innovation, and continuous improvement.
• Career development opportunities within a fast-evolving AI-driven organization.