Machine Learning Engineer vacancy in Chelyabinsk Russia

Part-Time Machine Learning Engineer

A growing tech company in Chelyabinsk is seeking a Part-Time Machine Learning Engineer to join our team. This is an exciting opportunity for a student or recent graduate looking to gain hands-on experience in the field of machine learning. The ideal candidate will have a strong background in computer science, mathematics, and statistics, as well as a passion for solving complex problems using data and algorithms.

Responsibilities:
- Collaborate with our team of engineers and data scientists to develop and implement machine learning models
- Conduct research on cutting-edge machine learning techniques and algorithms
- Collect, clean, and analyze data to identify patterns and trends
- Use machine learning techniques to build predictive models and make data-driven recommendations
- Continuously monitor model performance and make necessary updates and improvements

Requirements:
- Bachelor's degree or higher in Computer Science, Mathematics, or related field (students currently pursuing degrees are welcome to apply)
- Strong understanding of statistics and machine learning concepts
- Proficiency in programming languages such as Python, Java, or R
- Experience with machine learning libraries such as TensorFlow or PyTorch
- Ability to work independently as well as collaborate effectively in a team environment

Preferred:
- Previous internship or work experience in the field of machine learning
- Knowledge of software development best practices
- Familiarity with cloud computing platforms such as AWS or Azure

Benefits:
- Competitive salary of 1600$ per month (paid hourly)
- Flexible part-time schedule that can accommodate students' class schedules
- Accommodation provided for out-of-town candidates if needed

If you have a passion for machine learning and are looking for a part-time job that will allow you to gain valuable experience while still pursuing your studies, we encourage you to apply! Please submit your resume along with any relevant coursework or projects. We look forward to hearing from you!