Machine Learning Engineer vacancy in Siauliai Lithuania

Machine Learning Engineer - Siauliai, Lithuania


We are seeking a skilled and innovative Machine Learning Engineer to join our dynamic team in Siauliai, Lithuania. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms and models to solve complex problems and create value for our clients. You will work closely with data scientists, software engineers, and project managers to understand business needs and design solutions. The ideal candidate will have experience in data analysis, programming languages such as Python or R, and knowledge of machine learning techniques such as deep learning and natural language processing. This position requires a strong understanding of statistics, mathematics, and computer science principles. If you have a passion for problem-solving using cutting-edge technology, we encourage you to apply.

Salary: $1800 per month.

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field.
- Minimum of 2 years experience in data analysis and machine learning engineering.
- Proficiency in programming languages such as Python or R.
- Knowledge of machine learning techniques such as deep learning and natural language processing.
- Familiarity with database management systems (SQL) and big data tools (Hadoop).
- Strong analytical skills with the ability to translate complex data into actionable insights.
- Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
- Experience working on projects involving large datasets is preferred.
- Ability to work independently with minimal supervision.
- Kenyan nationality or willingness to relocate to Siauliai.

Responsibilities:
- Develop machine learning algorithms and models to solve business problems.
- Analyze large datasets using statistical methods and machine learning techniques.
- Collaborate with data scientists to understand business needs and design solutions.
- Implement predictive models into production systems.
- Optimize existing models for better performance.
- Conduct experiments to test new ideas and improve model accuracy.
- Communicate findings and insights to technical and non-technical stakeholders.
- Stay up-to-date with advancements in machine learning and apply them to improve existing models.
- Participate in code reviews and maintain clear documentation for all projects.

We offer:
- Competitive salary and benefits package.
- Opportunity to work with cutting-edge technology in a dynamic team environment.
- Professional development opportunities and continuous learning.
- Visa sponsorship for international candidates.
- Flexible working hours and the option for remote work.
- Part-time or full-time employment options available.

Join our team of passionate Machine Learning Engineers and make an impact with your skills! Apply now.