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Job Summary: We are seeking curious minds to join our Data Scientist team, where you will participate in innovative AI and machine learning projects, with a strong focus on natural language processing. Key Highlights: 1. Participation in innovative projects for leading companies 2. Dedicated time for AI research 3. Continuous training in cutting-edge technologies We seek curious minds to join our Data Scientist team ### **What We Require** * Dual degree in Computer Engineering and Mathematics; or a Computer Engineering degree with deep knowledge of Mathematics; or a Mathematics degree with significant programming experience. * Master’s or postgraduate degree in Machine Learning, Data Science, Artificial Intelligence, and/or Natural Language Processing—or demonstrable professional experience in these areas. * Advanced Python programming skills, including notebooks, scripts, and modules. * Development experience on Unix/Linux systems. * Experience in analyzing, configuring, and using machine learning and data processing systems, as well as relevant libraries: numpy, pandas, scikit\-learn, pytorch, Hugging Face, … * Experience developing Natural Language Processing (NLP) solutions, especially those based on Large Language Models (LLMs) and deep neural networks. * Experience fine-tuning and deploying LLMs using strategies such as prompting, fine\-tuning, RAG, or agents. * Familiarity with software management tools such as git. * High level of English proficiency. ### **Also Valued** * Knowledge of big data processing tools such as Spark, Dask, or similar. * Experience implementing machine learning algorithms from scratch. * Bash scripting experience. * Knowledge of SQL databases as well as NoSQL (OpenSearch or MongoDB). * Cloud infrastructure experience, with emphasis on AWS; Azure or Google Cloud also valued. * Experience with containerization and deployment technologies: Docker, REST APIs, Kubernetes. * Experience using software repositories such as GitLab, GitHub, or similar. * Strong abstraction ability to solve complex problems. * Strong analytical and diagnostic problem-solving skills. * Initiative, motivation for learning, and commitment to continuous improvement. ### **Ready for Challenging Projects?** We seek curious minds to join our **Data Scientist** team. At the Institute for Knowledge Engineering (IIC), we have spent over 35 years transforming data into value—and it is the talent we possess that has made this possible. We are a **young and dynamic team**, composed of innovative individuals, and we seek people eager to join our projects. ### **You Will Help Us:** Implement and conduct testing on **agent-based systems, generative AI, or customized machine learning systems**, tailored to problem requirements—with special emphasis on written natural language processing. You will also perform data processing tasks—including extraction, transformation, and cleaning—and analyze **customer data**, proposing value-driven insights based on them. Additionally, you will support **testing and packaging** of developed systems to enable their deployment in production environments, and contribute to **research on new models, algorithms**, and machine learning/data processing libraries—as well as emerging technologies potentially useful for data science projects—with special emphasis on Spanish-language natural language processing. ### **What We Offer in Return?** A stable full-time contract with **compensation commensurate with your experience and value**, plus: ### **Career Development Plan** We offer several **professional pathways**, enabling you to lead your own career. We guarantee equal opportunity through our **Equality Plan.** ### **Flexible Compensation** You may customize your compensation package by allocating up to 30% of your salary to **tax-exempt benefits**, such as meal vouchers, childcare vouchers, or private health insurance. ### **Innovative Projects** From day one, you will participate in **innovative projects** for leading companies across multiple sectors—a great advantage for growing with us. ### **Time for Research** We are **AI pioneers**, investing heavily in research. We jointly hold **three chairs with Universidad Autónoma de Madrid (UAM)** and you will participate in initiatives linked to the products and projects IIC develops with its clients. ### **Positive Work Environment** To foster teamwork, we organize **informal activities**, both charitable (e.g., food drives, World Breast Cancer Day) and sports-related (e.g., padel, football, running). ### **Continuous Training** Staying current with the **latest technologies** is one of our top priorities—you can obtain various **certifications**, and we will also support you in developing any skills you wish to acquire. ### **Goal-Based Recognition** We operate a **performance incentive model** to recognize your contribution toward IIC’s objectives. You will clearly understand expectations and receive constructive feedback to help you improve and grow. ### **Learning from Experts** We promote **collaboration across diverse profiles and disciplines**. We host internal seminars to share knowledge and work alongside **industry-leading experts**, offering valuable learning opportunities. ### **Transparency and Communication** We hold several company-wide meetings throughout the year and encourage **two-way communication** between managers and professionals—your opinion and participation are essential. ### **Work-Life Balance** We offer **flexible working hours**, and operate under a **hybrid work model**, supporting work-life integration and other personal needs. ### **Where Will You Work?** The IIC is located at UAM’s Cantoblanco Campus, offering various **facilities and services** thanks to AlumniUAM\+. Beyond being situated at a hub of innovation and knowledge—surrounded by many experts—you’ll also have access to UAM’s academic programs, libraries, swimming pools, gyms, and other sports facilities. Reaching the IIC via **public transport** is very convenient—by bus and especially by train (lines to Tres Cantos and Alcobendas). If you drive, you’ll have access to **parking adjacent to our offices**. ### **Required Documentation** Appropriate documents include: **CV** and **cover letter**. Additionally, references from your two most recent supervisors—if available. Other references beyond those provided may also be requested. ### **Application Submission and Receipt** Interested candidates may submit their CV via email (e.g., as an attached Word, RTF, or PDF file) to the following address: **rrhh@iic.uam.es**, specifying the reference **IA\_Cientifico\_a\_Datos**. .
