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 applications.

This is a strong opportunity for someone at the beginning of their career to gain 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 with textual 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 and applied machine learning

• 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 NLP or Large Language Models (LLMs)

• Internship experience, academic projects, or small-scale production model deployments

Why INULTI?

• Health First: comprehensive health insurance

• Challenging Projects: work on impactful AI systems used in real business contexts

• Premium Tools: full access to top-tier AI and development tools (Cursor, GitHub Copilot, Claude, ChatGPT, and more)

• Team Building Budget: workshops, adventures, and team activities

• Pet-Friendly Office

• Office Perks: snacks, fruit, coffee

• Heavy investment in growth: dedicated learning time, mentorship, conferences, and clear career progression

Jei nori, galime dar:

• labiau supaprastinti junior lygmeniui,

• arba pastumti rolę link Data / ML Engineer,

• arba pritaikyti tekstą LinkedIn skelbimui.