Machine Learning Engineer vacancy in Sheduva Lithuania

Machine Learning Engineer - Sheduva, Lithuania


As a Machine Learning Engineer, you will be responsible for developing and maintaining machine learning models to solve complex problems in the field of data analysis. You will work closely with data scientists, software engineers, and other team members to identify business needs and develop innovative solutions using cutting-edge technology.

Key Responsibilities:
- Design, develop, and deploy machine learning models for various use cases.
- Collaborate with cross-functional teams to identify business needs and deliver effective solutions.
- Utilize various programming languages such as Python, R, and Java to build and maintain models.
- Implement data processing pipelines to collect, clean, and analyze large datasets.
- Evaluate the performance of models and continuously improve them by incorporating new techniques.
- Stay up-to-date with the latest advancements in machine learning and data science.

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field.
- Minimum of 2 years of experience working as a Machine Learning Engineer or Data Scientist.
- Strong understanding of machine learning algorithms such as regression, classification, clustering, etc.
- Proficiency in programming languages like Python, R, or Java.
- Experience with data processing tools such as Spark or Hadoop is a plus.
- Knowledge of deep learning frameworks like TensorFlow or PyTorch is preferred.
- Excellent problem-solving skills and ability to think critically.
- Strong communication skills and ability to work effectively in a team environment.

We offer:
- Competitive salary of 1500$ per month
- Flexible working hours with the option for part-time employment
- Opportunity to work on cutting-edge technology projects
- Dynamic and diverse work environment
- Growth opportunities within the company

If you are passionate about machine learning and want to be a part of an innovative team that is making an impact in the field of data science, then we encourage you to apply for this position. This is a great opportunity for someone looking to enhance their skills and advance their career in the field of machine learning.