Hi there!

Excited about building intelligent models that will be used by millions of users worldwide?
Want to focus on model quality, experimentation, and bringing the latest in Computer Vision, NLP, and LLM technology to life?

Join our Data team! We're the backbone of carVertical’s intelligence, and we’re looking for a Mid-level Machine Learning Engineer to help us push the boundaries of what’s possible. Your main goal will be to build powerful models and agents and prepare them for production, directly influencing how the world understands automotive data.

Our mission: to perfect how the world buys, owns, and trades vehicles by leveraging the power of data. We’re already in 30+ markets — and growing fast.

If you want to:

• Develop, train, and refine Computer Vision and NLP models, as well as build powerful LLM agents using Python and PyTorch.

• Take ownership of the experimental process by tracking, versioning, and comparing models using MLFlow to ensure the highest quality.

• Package and prepare your models and agents for production, ensuring they are robust, scalable, and ready for deployment.

• Write clean, maintainable, and well-tested code (Unittest, Pytest) and actively participate in code reviews.

• Work closely with fellow engineers to integrate models into our systems and help diagnose any logic or behavior issues that arise.

What we’re looking for:

• Strong experience with Python and its data processing libraries (Pandas, NumPy).

• Practical experience with machine learning frameworks, especially PyTorch. Knowledge of scikit-learn or spaCy is also valuable.

• A solid understanding of the full machine learning lifecycle, from research and experimentation to production.

• Good command of Git and GitHub for version control and collaborative development.

• A proactive mindset and the ability to navigate a cloud environment like AWS (e.g., accessing data from S3, running training jobs).

• A genuine interest in LLM principles and building agents.

• Familiarity with containerization (Docker) and model serving tools (Torchserve, ONNX) is a big plus, as is any experience with GCP.

What we offer:

• A data-driven team reshaping the automotive market.

• Real ownership — you'll see your models move from idea to production.

• A modern ML stack with room to influence technical decisions.

• A dynamic, supportive environment with hybrid work opportunities — office available in Vilnius and Kaunas.

• Professional growth with funded training, courses, and continuous development programs.

• Additional paid vacation days and health insurance.

• Regular team-building events that encourage collaboration.

Monthly salary: 3500-4500 eur/brutto

We are open to negotiation - the final offer will depend on your competencies and experience.