Machine Learning Engineer vacancy in Siauliai Lithuania

Machine Learning Engineer

We are in search of a highly skilled and experienced Machine Learning Engineer to join our growing team. As a Machine Learning Engineer, you will be responsible for designing, implementing, and maintaining machine learning algorithms and systems that drive our company's products and services. Your work will directly impact the success of our business and contribute to the advancement of the field of machine learning.

Responsibilities:
- Design and implement machine learning models, algorithms, and systems
- Conduct research to identify new techniques or technologies that can improve our existing systems
- Collaborate with cross-functional teams to understand business needs and develop solutions
- Collect, clean, and preprocess data for use in training models
- Train and evaluate machine learning models using appropriate methods and metrics
- Continuously monitor model performance and make necessary improvements or updates
- Communicate complex technical concepts to non-technical stakeholders

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, or related field
- Minimum of 3 years experience working as a Machine Learning Engineer or similar role
- Strong understanding of machine learning techniques such as deep learning, natural language processing, and computer vision
- Proficient in programming languages such as Python, R, or Java
- Experience with popular machine learning libraries such as TensorFlow or PyTorch
- Familiarity with data preprocessing tools like Pandas or NumPy
- Excellent problem-solving skills and ability to think critically about complex problems
- Excellent communication skills and ability to work collaboratively in a team environment

Salary: $1200 per month (negotiable based on experience)

Location: Siauliai (visa sponsorship available)

This position is suitable for men. However, we welcome all qualified candidates regardless of gender.

If you are passionate about machine learning and have a strong track record of success in this field, we encourage you to apply. Join our dynamic team and be a part of shaping the future of our company and the world of machine learning.