We are seeking an engineer to join our ML Engineering team. You will work with large quantities of structured, computer vision, and NLP data. You will focus on building solutions to problems that require the latest techniques and tools in the AI field and look after existing solutions at the carVertical data department. You will closely collaborate with our backend, frontend, product, design, and other teams as part of your job.

Your daily focus:

Develop and implement production-ready ML models.
Adapt statistical models from other data departments to production-ready solutions.
Observe the quality of existing ML products and improve testing and monitoring solutions.
Evaluate and decide on future technologies that fit the ML engineering team toolset.

Required skills:

At least 1 year experience in Machine Learning, Software Engineering, Data Science, or related areas.
Proficient in Python programming language.
Understanding of fundamental machine learning concepts and techniques.
Experience in deploying models into production on AWS or similar cloud platforms, as well as monitoring and maintaining them in the long term.
Ownership mindset.

Optional skills:

Model development experience in the PyTorch ecosystem.
Experience with boosted tree model frameworks like XGBoost and LightGBM.
NLP or Computer Vision experience.
Experience with AWS cloud platform products (such as ECS, Lambdas).
MLops using GitHub Actions, Airflow, AWS-based solutions and MLFlow.

We offer:

A team of supportive professionals
A dynamic work culture and the possibility to work fully or partially remotely (we have spacious offices in Vilnius and Kaunas);
Career development programmes - we fund various professional trainings and courses;
Unlimited paid vacations;
Employee incentive and reward programmes;
Team building events;
Company values that you can really be proud of;

Salary ranges:

3600-5400 brutto

We are open to negotiation - the final offer will depend on your competences.

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Machine Learning Engineer