Machine Learning Engineer vacancy in Siauliai Lithuania

Machine Learning Engineer
Profession: Machine Learning Engineer
City: Siauliai, Lithuania

We are seeking a highly skilled and innovative Machine Learning Engineer to join our team in Siauliai. In this role, you will be responsible for developing and implementing cutting-edge machine learning algorithms and techniques to solve complex business problems. As a Machine Learning Engineer, you will collaborate with cross-functional teams to understand business requirements, design solutions, and deploy models into production.

Responsibilities:
- Develop and implement machine learning models to solve business problems
- Collaborate with cross-functional teams to gather requirements and understand business needs
- Design efficient and scalable machine learning solutions
- Conduct data analysis, cleaning, and preprocessing tasks
- Train and test machine learning models using various techniques such as regression, classification, clustering, etc.
- Deploy models into production environment and monitor their performance
- Continuously research and evaluate new technologies and techniques to improve model accuracy

Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Strong understanding of machine learning concepts such as regression, classification, clustering, etc.
- Proficiency in programming languages such as Python or R
- Experience with data analysis tools like Pandas or NumPy
- Familiarity with deep learning frameworks like TensorFlow or PyTorch is a plus
- Ability to work in a fast-paced environment and handle multiple projects simultaneously
- Excellent problem-solving skills and attention to detail

Salary: $1700 per month.

Location: This position is based in Siauliai, Lithuania.

Nationality/Language Requirements: We welcome candidates of all nationalities who are fluent in English. No knowledge of the Lithuanian language is required for this position.

Experience Required: Previous experience in a similar role is preferred but not required for highly qualified candidates.

Accommodation: We provide accommodation for our employees, including utilities and internet access.

Freshers: Freshers with a strong academic background and relevant skills are encouraged to apply for this position.

Note: Please provide your resume and a cover letter highlighting your relevant experience and skills. Only shortlisted candidates will be contacted for an interview.