Machine Learning Engineer - AI Inteligencia Artificial

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 are 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 ML most common libraries.
• 2+ year 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 expertness 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
• Azure AI
• 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!