Senior ML / LLM Engineer (API & Fullstack) - English Mandatory

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Company Description

Your career starts now…

We are renowned European world leader in consulting, digital services and software development with 56.000 employees in almost 30 countries and more than 4.000 employees in Spain.

We focus on people; their growth and their professional development is what makes us grow and improve constantly.

We are passionate about the digital world and just like you we are looking for the greatest adventures. We want your day to day to be your source of inspiration. We want you to learn, to have fun, to grow and most importantly to enjoy to the fullest.

If you want to be a part of a “ Great Place to work ” company ...just keep reading!

Job Description

This role is for a Senior ML / LLM Engineer with strong data science capabilities and a significant focus on API development and full-stack engineering principles . They will be responsible for the end-to-end lifecycle of machine learning solutions, from model conception and development to building robust, scalable APIs and integrating them into production applications.

Qualifications

Data Science, Model Development & LLM Expertise :

• Statistical Models & Machine Learning : Develop, test, and validate statistical and machine learning models in Python. Explore, select, and prepare datasets, including feature engineering using libraries like NumPy, Pandas, Polars, and SciPy.
• Advanced ML Libraries : Develop and implement classification, regression, and other predictive models leveraging libraries such as Scikit-learn, XGBoost, LightGBM, CatBoost, and deep learning frameworks like TensorFlow / Keras and PyTorch.
• Natural Language Processing (NLP) & Text Mining : Utilize NLP techniques to extract insights from unstructured text, employing libraries like NLTK, spaCy, Hugging Face Transformers, and Sentence Transformers.
• Large Language Models (LLMs) :
• Architect and implement solutions using LLMs (e.g., GPT-4, Claude 3, Llama 3, Gemini) via APIs or by fine-tuning open-source models for tasks like extraction, classification, summarization, content generation, and conversational AI.
• Proficiency with LLM application development frameworks such as LangChain, LlamaIndex, and Haystack for building complex, orchestrated LLM workflows.
• Skilled in prompt engineering, fine-tuning techniques (e.g., LoRA, QLoRA), and designing Retrieval Augmented Generation (RAG) systems.
• Experience with vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS) for semantic search and knowledge retrieval.

Additional Information

What do we have for you?

And most importantly you´ll have the opportunity to develop your professional career with us. Together we’ll create an individualized career development plan. We’ll establish goals and we’ll make sure we achieve them together. Your priorities will be ours.

Your voice will be heard! - Join us and be part of something bigger!

The World Is How We Shape It

Adquirimos el compromiso de respetar la diversidad, creando un ambiente de trabajo inclusivo y aplicando políticas que favorezcan la inclusión y promuevan el respeto social y cultural en cuestiones de género, edad, funcional, orientación sexual y religión con igualdad de oportunidades. Seniority level

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