Are you passionate about artificial intelligence, data-driven innovation, and cutting-edge machine learning?

Join the Innovation Branch at Proceedit, where we explore how advanced analytics, AI, and generative technologies can transform industries and shape the future of intelligent automation.

About Us:

Proceedit is a software development company specializing in business process automation.

We simplify your work by transforming your business, managing complexity, and facilitating collaboration. Through our BPaaS business model, we optimize operations, control processes, and maximize margins without requiring investment.

The Innovation Branch is dedicated to research, experimentation, and innovation. Our team leverages AI, machine learning, and data science to build intelligent systems and discover new opportunities for product improvement.

Internship Details:

As an AI and Machine Learning Intern, you’ll collaborate with our data scientists and innovation engineers on projects involving advanced analytics, model development, and experimentation.

Your tasks may include:

• Designing, training, and evaluating machine learning models (supervised and unsupervised learning).
• Working with NLP, Generative AI, and other advanced AI technologies.
• Exploring large datasets to identify insights and optimization opportunities.
• Developing prototypes and proof-of-concept solutions.
• Collaborating with the Data and Application Units to integrate models into production environments.
• Conducting literature reviews and experimenting with emerging AI techniques.

Qualifications:

• Pursuing or recently completed a degree in Data Science, Computer Science, Artificial Intelligence, or related field.
• Solid understanding of machine learning principles, including supervised/unsupervised learning and evaluation metrics.
• Proficiency in Python and common ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Experience with NLP or generative models is a strong plus.
• Familiarity with data visualization and experimentation tools.
• Curiosity, analytical thinking, and a drive for innovation.
• Excellent communication and teamwork skills.



What We Offer:

• A dynamic and collaborative work environment.
• Mentorship from experienced data analysts and data scientists.
• The opportunity to work on projects that have a real-world impact.
• Compatible with the participation as part of the Erasmus or a similar internship exchange program
• Possibility to develop the final course degree project for your academic institution as part of the internship period
• Compatible with the realization of your Master or PhD thesis
• Academic Certificate and Professional Working Certificate
• Recommendation Letter and LinkedIn Professional Recommendation
• Financial compensation by participating on the trainee pathway. But, only in the second phase of the internship
• Commission pay