Machine Learning Engineer vacancy in Chelyabinsk Russia

Machine Learning Engineer


We are hiring a highly skilled and motivated Machine Learning Engineer to join our team in Chelyabinsk. In this role, you will be responsible for developing and implementing machine learning algorithms and models to solve complex business problems. Your primary focus will be on designing, training, and evaluating machine learning models, as well as optimizing them for production deployment.

Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field
- Strong knowledge of machine learning techniques such as regression, classification, clustering, and deep learning
- Proficiency in programming languages such as Python or Java
- Experience with machine learning libraries/frameworks such as TensorFlow or PyTorch
- Experience with data manipulation and analysis using SQL and/or NoSQL databases
- Ability to work independently and collaboratively in a fast-paced environment

Responsibilities:
- Design, develop, and implement machine learning algorithms/models to solve business problems
- Process, clean, analyze, and visualize large datasets using various tools and techniques
- Collaborate with cross-functional teams to identify business needs and define project requirements
- Train and evaluate models using appropriate metrics
- Optimize models for performance and scalability in production environments
- Keep up-to-date with the latest advancements in machine learning techniques

Salary: 1600$ per month (negotiable based on experience)

Location: Chelyabinsk (willingness to relocate is preferred but not required)

This is an exciting opportunity for a talented Machine Learning Engineer to join a dynamic team working on cutting-edge projects. If you have a passion for solving complex problems using machine learning techniques and possess strong analytical skills, we would love to hear from you! Freshers are welcome to apply. Please note that accommodation is not provided for this position.