INTENS is a software development company based in Novi Sad, specializing in designing and developing bespoke solutions and applications. Intens is passionate about the projects it undertakes and confidently delivers excellence in every project, having done so for the last 25 years. Our teams are engaged in software product development and projects using the latest
methodologies, tools, and technologies. We are continually seeking ambitious and talented IT professionals like you. Join us, grow with us, and become part of our success story.
Machine Learning Engineer Internship
We’re seeking motivated students or recent graduates who are eager to launch their careers in machine learning and artificial intelligence. As a Machine Learning Engineer Intern, you’ll gain hands-on experience working on international projects, applying theoretical knowledge from university to real-world problems. You’ll work closely with experienced mentors, strengthening your skills in algorithms, coding best practices, and data-driven solutions.
What you’ll do
- Be part of a supportive team working on long-term international projects
- Learn how to build and evaluate machine learning models
- Apply OOP, clean code principles, and software engineering practices to ML workflows
- Work with datasets: preprocessing, analysis, and feature engineering
- Collaborate with developers, data engineers, and domain experts
- Receive mentorship and guidance throughout the internship
What we’re looking for
- Basic knowledge of Python and popular ML libraries (NumPy, pandas, scikit-learn; TensorFlow or PyTorch is a plus)
- Understanding of object-oriented programming (OOP) and core computer science concepts
- Familiarity with fundamental machine learning algorithms (linear regression, classification, clustering, etc.)
- Interest in writing clean, maintainable, and well-documented code
- Knowledge of Git and version control basics is a plus
Profile
- Bachelor’s student or recent graduate in Computer Science, Engineering, or related field
- Eager to learn, proactive, and open to feedback
- Strong problem-solving mindset and attention to detail
- Team player who enjoys working in an international environment
- Good English communication skills
Please send your application in English electronically.