Direct message the job poster from Applus+ Laboratories
Talent Acquisition, Management and Development | Human Resources | Psychology 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 ML most common libraries.
2+ years 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
Seniority level Associate
Employment type Full-time
Job function Information Technology, Engineering, and Consulting
Industries Business Consulting and Services, IT Services and IT Consulting, and Engineering Services
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