Machine Learning Engineer vacancy in Vilnius Lithuania

Machine Learning Engineer - Vilnius, Lithuania


We are hiring a skilled Machine Learning Engineer to join our dynamic team in Vilnius, Lithuania. As a Machine Learning Engineer, you will be responsible for designing, building, and implementing machine learning models and algorithms to solve complex business problems. You will work closely with cross-functional teams to develop data-driven solutions and contribute to the overall growth and success of the company.

Key Responsibilities:
- Design and implement machine learning models and algorithms for various business use cases.
- Collaborate with data scientists, software engineers, and product managers to understand business needs and translate them into technical solutions.
- Develop data pipelines, perform data preprocessing and feature engineering to ensure high-quality input for model training.
- Conduct experiments to evaluate model performance and make necessary improvements.
- Monitor model performance in production environment and implement necessary updates or changes.
- Stay updated on the latest trends and advancements in machine learning technology to continuously improve our models.

Requirements:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics or related field.
- 2+ years of experience working as a Machine Learning Engineer or Data Scientist.
- Strong programming skills in Python/R and experience with machine learning libraries such as TensorFlow, Keras, or PyTorch.
- Experience with SQL databases and big data tools (e.g. Hadoop, Spark) is preferred.
- Proven track record of developing successful machine learning models in a production environment.
- Strong analytical skills with the ability to identify patterns and draw insights from complex datasets.

Why Join Us?
At our company, we value diversity and believe that a diverse team brings different perspectives that lead to innovative solutions. We offer competitive salaries, flexible work hours (including remote options), opportunities for career growth, and a supportive work culture. Join us as we continue to make an impact through cutting-edge machine learning technology.