Machine Learning

il y a 18 heures

Paris, France Corsearch Temps plein

Navee, now part of **Corsearch**, is revolutionizing the way brands approach **Image Intelligence**.

As a key addition to Corsearch's comprehensive brand protection ecosystem, Navee empowers the next generation of **brand protection**, **fraud prevention**, and **online presence monitoring**.

With cutting-edge AI technology, Navee has developed the industry’s most advanced reverse image search engine, delivering transformative solutions across industries.

Together with Corsearch, Navee serves some of the world’s most iconic luxury groups, FMCG brands, and online marketplaces, enabling them to search, analyze, and act on online content with unprecedented accuracy and efficiency.

**The Role**

As an **ML Engineer** at Navee, a Corsearch company, 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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