Machine Learning Engineer vacancy in Utena Lithuania

Machine Learning Engineer



We are hiring a Machine Learning Engineer to join our team in Utena, Lithuania. This position is suitable for English-speaking individuals without prior experience, and we welcome applications from all genders.

As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms and models. You will work closely with our data scientists and software engineers to build predictive models and design experiments to improve our products and services.

Key Responsibilities:
- Design, develop, and implement machine learning algorithms and models
- Collaborate with data scientists to gather requirements and understand business needs
- Analyze large datasets to identify patterns and trends
- Build predictive models using tools such as TensorFlow, Keras, or PyTorch
- Evaluate the performance of models and make necessary improvements
- Work with software engineers to integrate models into production systems
- Design experiments to test the effectiveness of new models

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
- Strong understanding of machine learning techniques such as regression, classification, clustering, etc.
- Familiarity with programming languages such as Python or R
- Experience with machine learning libraries (e.g. scikit-learn) is a plus
- Knowledge of deep learning frameworks (e.g. TensorFlow) is preferred but not required
- Good communication skills and ability to work in a team environment

Salary:
We offer a competitive salary of 1800$ per month for this position.

Location:
This position is based in Utena, Lithuania. However, we are open to remote work arrangements for exceptional candidates.

If you are passionate about machine learning and have a strong desire to learn and grow in this field, we encourage you to apply for this exciting opportunity. We value diversity in our workforce and welcome applicants from all backgrounds.