About the Role

We are looking for an ambitious Junior AI Engineer to join our team and help design efficient AI systems that power real-world AI applications.

This is an amazing chance for someone starting out in their career to get hands-on experience with machine learning, data processing, and production deployment in a fast-paced, innovative environment.

What You’ll Be Doing

• Conduct exploratory data analysis (EDA)
• Prepare, analyze, and work data to extract actionable insights
• Extensively use modern AI development tools to enable rapid, efficient development
• Train, optimize, and evaluate machine learning models using training, validation, and test datasets
• Experiment with and apply state-of-the-art machine learning techniques to improve model performance
• Contribute to the development of production AI systems used by tens of thousands of users
• Learn and use AWS infrastructure and automated deployment pipelines (e.g., AWS CDK) to reduce time-to-production
• Support strategies for model deployment, monitoring, maintenance, and updates
• Communicate progress, results, and technical findings to cross-functional teams and stakeholders

What We’re Looking For

• Strong problem-solving skills and a genuine eagerness to learn new technologies quickly
• Ability to work independently while collaborating effectively with the team
• Passion for AI
• Clear communication skills to share ideas and findings with both technical and non-technical colleagues

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent practical experience)
• Strong programming skills in Python
• Basic knowledge of machine learning fundamentals (supervised and unsupervised learning)
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow
• Experience with data preprocessing and basic feature engineering
• Understanding of model evaluation techniques (train/validation/test splits, common metrics like accuracy, precision, recall, F1, etc.)
• Basic proficiency in SQL and data handling
• Familiarity with Git and collaborative development workflows
• Awareness of deploying models via APIs or scripts
• General understanding of statistics
• Excellent communication skills to collaborate effectively with team members

Bonus Points For

• Exposure to cloud platforms (AWS, GCP, or Azure)
• Coursework, personal projects, or experience involving Natural Language Processing (NLP) or Large Language Models (LLMs)
• Internship experience, academic projects, or small-scale production model deployments

Salary range: 2000–2441 EUR gross (1265–1500 EUR net)

Why NULTI?

• Health First: comprehensive health insurance to keep you at your best
• Challenging Projects: work on innovative AI solutions that push your skills and have real impact
• Premium Tools: full access to top-notch AI and development tools (Cursor, GitHub Copilot, Claude, ChatGPT, and more)
• Team Building Budget: join workshops, adventures, and team activities
• Pet-Friendly Office: bring your furry friend—they’re part of the family too!
• Office Perks: free snacks, fruit, coffee, and more—because little things matter
• Heavy investment in growth: dedicated learning time, mentorship, conferences, and clear career progression