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
Key Skills
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- Posted
- Mar 25, 2026
- Type
- Full-time
- Level
- Entry
- Location
- Vilniaus
- Company
- inulti
Industries
Categories
Related Jobs
3 roles aligned with this opportunity
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