Work with us

Are you passionate about data science and looking for fast-paced growth in an exciting field?  We can offer you the job of your dreams.

Check out the open vacancies below or stay in touch to learn about new job openings in LIBRA AI Technologies.

Work with us

Benefits

  • Our employees are LIBRA's most valuable asset. We are determined to a friendly, inspiring, creative and passionate working environment where autonomy and teamwork coexist.  

  • We hire the best, and we acknowledge their value and core role in our business growth. We offer a competitive full-time salary and performance incentives package.  

  • We ensure equality, inclusion and fair treatment to all our employees and job applicants. 

  • We recognize that great data science comes only through knowledge. We ensure constant upskilling, mentoring and cross-training in our team. 

  • We guarantee our employees' exposure to fascinating projects and cutting-edge ML and AI technologies through our advanced R&I activities, offering the chance to evolve in an international, interdisciplinary environment.

  • We respect the work-life balance; we offer flexibility in the daily schedule and two days off per month.

Data Scientist - Internship
Data Scientist - Internship April 15, 2026 | Open for applications
LIBRA AI welcomes talented and motivated higher education students (eligible to perform αν internship as per school curriculum) to join our team and advance their careers in the fast-growing field of Machine Learning and Artificial Intelligence. After being trained in the company's work environment and development tools, the selected candidate will be involved in developing applications that focus on studying, visualizing, and extracting insights from both large and small data sets as part of the "data scientist" role. The candidate will also get involved in an exciting project in modern AI from either Computer Vision, Natural Language Processing or Timeseries Forecasting, using technologies such as Deep Neural Networks.  Technologies  The selected candidate will be involved with the following Python technologies:  *NumPy and Pandas for data manipulation and analysis.  *Scikit-learn, TensorFlow or PyTorch for machine learning.  *Matplotlib or Seaborn for data visualization.  *Jupyter Notebooks or Spyder for interactive coding and experimentation.  *Git.  Desired qualifications:  *Good level of knowledge of Python programming language.  *Good level of knowledge of statistical theory and data analysis.  *Good level of English.  What we offer  *A relaxed working atmosphere with young and energetic people at the startup hub, Found.ation (http://thefoundation.gr).  *Strong company culture & teamwork.  *Work on state-of-the-art enterprise technologies.  *Continuous training and up-skilling.  Interested applicants should express their candidature through the ATLAS platform: http://atlas.grnet.gr/   For more information, don't hesitate to contact us at [email protected]
Web Developer-Internship
Web Developer-Internship April 10, 2026 | Open for applications
We are looking for talented and motivated higher education students (eligible to perform internship as per school curriculum) who are interested in web and backend development and want to work on real-world, AI-powered applications. As an intern, you will actively contribute to the development and improvement of modern, production grade backend systems that support scalable web applications. This is a hands-on role designed to help you grow your engineering skills while working alongside experienced developers on real projects, following current industry best practices and architectures commonly used in contemporary AI-driven platforms. After an initial onboarding and training period, the selected candidate will collaborate closely with our backend team and participate in the full development lifecycle. Required qualifications • Understanding of the client-server model and basic web architecture.• Familiarity with HTTP concepts and RESTful API principles.• Experience with Python, or strong interest and ability to work primarily with Python for backend development.• Basic experience with relational databases (e.g. PostgreSQL, MySQL, or SQL Server).• Basic understanding of backend concepts (e.g. authentication, routing/controllers, and data models), or strong willingness to learn them. Nice to have:• Familiarity with a backend web framework for building APIs (e.g. FastAPI, Flask, or similar).• Basic understanding of microservices or asynchronous task processing.• Some exposure to frontend technologies such as HTML, CSS, or JavaScript.• Curiosity about AI-driven systems and data-intensive applications. What we offer • A dynamic, supportive, and relaxed work environment with young and energetic people in our modern offices in the heart of Athens, in the vibrant neighborhood of Koukaki • Opportunities for skill development and growth.• Engagement in cutting-edge projects with real-world impact.• Mentorship from experienced professionals.• Work on state-of-the-art enterprise technologies. LOCATION: The candidate will work in our offices located on Leof. Andrea Siggrou 106, Athina 117 41 (near Syggrou-Fix metro station). How to apply Interested applicants should express their candidature through the ATLAS platform: http://atlas.grnet.gr/   For more information, don't hesitate to contact us at [email protected].   
Data Analyst-Internship
Data Analyst-Internship April 10, 2026 | Open for applications
We are seeking talented and motivated students from higher education institutions, eligible for internships as per their school's curriculum, to join our team and embark on an enriching journey in the field of Data Analysis. After being trained in the company's work environment and development tools, the selected candidate will be engaged in: Executing data manipulation and analysis techniques to delve into crucial data points. Crafting user-friendly and visually captivating charts/dashboards. Conducting hands-on coding sessions and experimentation to foster interactive learning experiences. Required qualifications Familiarity with NumPy and Pandas for handling and analyzing data effectively. Knowledge of MySQL for basic database operations. Basic understanding of Matplotlib or Seaborn for creating simple data visualizations. Experience with Jupyter Notebooks or VS Code for exploring data and experimenting with code. Knowledge of Git for version control and collaboration. Nice-to-haves: Familiarity with dashboarding tools like Tableau, PowerBI, or Grafana would be advantageous. A solid understanding of statistical theory would be beneficial. Proficiency in English communication skills would be appreciated. What we offer A dynamic, supportive, and relaxed work environment with young and energetic people in our modern offices. Opportunities for skill development and growth. Engagement in cutting-edge projects with real-world impact. Mentorship from experienced professionals. LOCATION: The candidate will work in our offices located on Leof. Andrea Siggrou 106, Athina 117 41 (near Syggrou-Fix metro station). How to apply Interested applicants should express their candidature through the ATLAS platform: http://atlas.grnet.gr/   For more information, don't hesitate to contact us at [email protected].   
AI Engineering-Internship
AI Engineering-Internship April 10, 2026 | Open for applications
LIBRA AI welcomes talented and motivated higher education students (eligible to perform an internship as per school curriculum) to join our team and advance their careers in the fast-growing field of Machine Learning and Artificial Intelligence. AI welcomes talented and motivated higher education students (eligible for an internship per school curriculum) to join our team. As an AI Engineering Intern, you will bridge the gap between data exploration and production-grade AI systems. After training in our development tools, you will work closely with our Data Scientists and Engineers to study, visualize, and extract insights from diverse datasets while building the infrastructure to train and deploy these models at scale.   Scope of Work Model Development: Be a Data Scientist involved in exciting projects in modern AI, choosing among Computer Vision, LLMs, or Time Series Forecasting using Deep Neural Networks. Productionalization: Be an ML Engineer to formalize ML-oriented code to make it production-ready and design pipelines to establish processes to (re)train models and make them available to downstream systems. Data exploration & processing: Be a Data Engineer to perform data manipulation, analysis, ETL, and engineering tasks to support ML requirements. Technical Stack During the internship, you will gain hands-on experience with: Frameworks: TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas. MLOps: Azure ML, MLflow, and Docker. Data & Orchestration: Amazon S3, Azure Blob Storage, Apache Airflow, and Apache NiFi. Development: Git, REST APIs, and Jupyter Notebooks. Required qualifications • Good knowledge of Python programming.• Good understanding of different ML algorithms, statistical theory, and ML tasks.• Experience with Git.• Professional-level English communication skills. Nice to have:• Experience with Docker, REST APIs, or data visualization (Matplotlib/Seaborn).   What we offer • A dynamic, supportive, and relaxed work environment with young and energetic people in our modern offices in the heart of Athens, in the vibrant neighborhood of Koukaki • Opportunities for skill development and growth.• Engagement in cutting-edge projects with real-world impact.• Mentorship from experienced professionals.• Work on state-of-the-art enterprise technologies. LOCATION: The candidate will work in our offices located on Leof. Andrea Siggrou 106, Athina 117 41 (near Syggrou-Fix metro station). How to apply Interested applicants should express their candidature through the ATLAS platform: http://atlas.grnet.gr/   For more information, don't hesitate to contact us at [email protected].   
Data Engineer - Internship
Data Engineer - Internship April 10, 2026 | Open for applications
LIBRA AI welcomes talented and motivated higher education students (eligible to perform an internship as per school curriculum) to join our team and advance their careers in the fast-growing field of Machine Learning and Artificial Intelligence.   KEY TECHNOLOGIES Throughout the course of the Data Engineering internship, the candidate will have the chance to get involved with the following technologies Apache Airflow, Apache NiFi PostgreSQL, MySQL, Apache Kafka Docker, Kubernetes, Azure Pipelines MLflow Amazon S3, Azure Blob Storage RESPONSIBILITIES After being trained in the company's work environment and development tools, the selected candidate will be working closely with Data Scientists and Engineers to: Design and implement ETL/ELT workflows to support various data activities (data warehousing, ML, dashboarding, etc.) Develop processes for data quality checking and improve automation Perform data migrations between different storage and backup systems Assist in packaging ML models into production environments Develop simple stream processing applications   QUALIFICATIONS Desired Qualifications Good knowledge of Python programming. Familiarity with SQL and its common database systems such as MySQL and PostgreSQL. Experience with the git version control system. Professional-level English communication skills. Nice-to-haves Experience with REST APIs. Experience with NoSQL databases (e.g. MongoDB, any columnar database). Experience with Docker Familiarity with Anthropic’s Claude ecosystem Basic understanding of ML concepts Basic understanding of parallel and distributed systems.   WHAT WE OFFER  A dynamic, supportive, and relaxed work environment with a collaborative and motivated team in our modern offices in the heart of Athens, in the vibrant neighbourhood of Koukaki (near Syggrou-Fix metro station). Opportunities for skill development and growth. Engagement in cutting-edge projects with real-world impact. Mentorship from experienced professionals. LOCATION: The candidate will work in our offices located on Leof. Andrea Siggrou 106, Athina 117 41 HOW TO APPLY Interested applicants should express their candidature through the ATLAS platform: http://atlas.grnet.gr/   For more information, don't hesitate to contact us at [email protected]

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