Machine Learning Engineer

hace 7 días

Cerdanyola del Vallès, España Applus+ Laboratories A tiempo completo

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

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