Machine Learning

il y a 3 jours


Paris, France Corsearch Temps plein

**The Role**

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.

**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 with at least **3 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.
- Strong analytical and problem-solving skills, with the ability to translate business challenges into technical solutions.
- Full professional English proficiency


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