Machine Learning Engineer vacancy in Utena Lithuania

Machine Learning Engineer


We are hiring a talented and experienced Machine Learning Engineer to join our dynamic team in Utena. In this role, you will be responsible for developing and implementing cutting-edge machine learning algorithms and models to solve complex business problems. You will work closely with data scientists, software engineers, and other cross-functional teams to design and deploy scalable solutions.

Responsibilities:
- Design, develop, and implement machine learning algorithms and models
- Collaborate with data scientists to identify business problems that can be solved using machine learning
- Analyze large datasets to extract valuable insights and improve model performance
- Work closely with software engineers to integrate machine learning solutions into existing systems
- Stay up-to-date with the latest advancements in machine learning and apply them to improve our processes
- Communicate complex concepts and results to non-technical stakeholders

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- At least 2 years of experience as a Machine Learning Engineer or a similar role
- Strong programming skills in Python or R
- Experience with popular machine learning libraries such as TensorFlow, PyTorch, or Scikit-Learn
- Solid understanding of statistical concepts and data analysis techniques
- Familiarity with cloud computing platforms such as AWS or Azure is a plus
- Excellent problem-solving skills and attention to detail

Salary:
We offer a competitive salary of $1400 per month for this position.

Location:
This position is based in Utena. However, we welcome applicants from all over the world who are willing to relocate.

Visa Sponsorship:
We are open to sponsoring work visas for qualified candidates.

Note:
English proficiency is required for this position. Applicants from Pakistan or Kenya are encouraged to apply. No previous experience in the field is necessary, but a strong interest in machine learning is preferred. We value diversity and encourage individuals from all backgrounds to apply.