The Digital Business Team develops promising digital solutions for global products and processes. It aims to organize Applus+ Laboratories ' information, making it useful, fast, and reliable for both the Applus+ Group and its clients. The team’s mission is to be recognized as the most digital, innovative, and customer-oriented company, reducing digital operations' costs while increasing the value and portfolio of services.
We are looking for a Data Science / AI Engineer to join our Digital team and contribute to the development of evolving data products and applications.
What are we looking for?
* Collect, organize, and analyze information to generate code, train models, verify and validate outputs, and draw meaningful conclusions.
* Have strong mathematical fundamentals and be proficient in numerical and statistical methods, as well as a variety of machine learning algorithms.
* Bring expertise in NLP and foundation models, with specific knowledge in transformers, tokenization, and encoding-decoding processes.
* Apply Explainable AI methodologies and use related Python libraries (e.g., SHAP, LIME).
* Demonstrate organized thinking, strong logic and reasoning skills, and effective communication, ensuring knowledge sharing through documentation and well-commented code.
* Possess a keen eye for detail to identify anomalies in data and code.
* Exhibit creativity and an "out-of-the-box" approach to problem-solving.
Requirements :
* Demonstrated experience coding in Python specifically working in data science projects and using common ML libraries.
* 2+ years of experience in ML / AI projects.
* Strong knowledge in machine learning / deep learning fundamentals and techniques.
* Specific knowledge on Computer Linguistics may be an advantage : NLP libraries like SpaCy or NLTK, genAI frameworks such as LangChain and / or LlamaIndex, chunking, tokenization, embeddings...
* Specific expertise on foundation models will be considered.
* Previous experiences working with Generative AI and Explainable AI are welcome.
Our current tech stack is :
* Python
* Commonly used ML / AI libraries
* Java
Technical Requirements
* Proven coding experience (e.g., Python; other languages are a plus) in data science projects and familiarity with common ML libraries.
* Hands-on experience in ML / AI projects (preferred).
* Solid knowledge of data mining, machine learning, and deep learning fundamentals and techniques.
* Familiarity with computer linguistics : NLP libraries (e.g., SpaCy, NLTK), generative AI frameworks (e.g., LangChain, LlamaIndex), tokenization, embeddings, and chunking.
* Expertise in foundation models and previous work with Generative AI and Explainable AI is an advantage.
Education
* Degree in Computer Science, Software Engineering, Applied Mathematics, or a related field.
* A master’s degree in Data Science or AI Engineering is an advantage.
Languages
* Fluent in Spanish and English.
If you are passionate about neural networks, advanced AI algorithms, and challenging yourself, this is the right job for you!
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