Machine Learning Engineer vacancy in Utena Lithuania

Machine Learning Engineer



As a Machine Learning Engineer, you will be responsible for developing and implementing cutting-edge machine learning algorithms and models to solve complex business problems. Based in Utena, you will work with a team of data scientists and engineers to build and deploy scalable ML solutions.

Key Responsibilities:
- Design, develop, and deploy machine learning models that improve business processes and decision-making
- Collaborate with cross-functional teams to identify business problems that can be solved using machine learning techniques
- Explore, clean, and analyze large datasets to identify patterns and insights
- Develop data pipelines to prepare data for use in ML models
- Optimize models for performance and accuracy using techniques such as hyperparameter tuning
- Deploy ML models into production environments using containerization technologies like Docker
- Monitor model performance and make necessary improvements as needed
- Continuously research and implement new techniques in the field of machine learning

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or related field
- Proven experience in developing and deploying machine learning models using Python or R
- Strong understanding of machine learning algorithms such as regression, classification, clustering, etc.
- Experience with data manipulation tools such as Pandas or SQL
- Familiarity with cloud computing platforms like AWS or Azure
- Knowledge of containerization technologies like Docker is a plus
- Excellent problem-solving skills and ability to think critically about complex problems
- Strong communication skills with the ability to explain technical concepts to non-technical stakeholders

Salary:
We offer a competitive salary of $1200 per month for this position.

City:
This position is based in Utena but remote work options may be available.

Our Company:
We are a global organization that values diversity and inclusivity. We welcome applicants from all backgrounds to apply for this role.