Machine Learning Engineer vacancy in Moscow Russia

Machine Learning Engineer

As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms and models to solve complex problems. Your main duties will include data preprocessing, feature engineering, model selection and evaluation, and deploying models into production. You will work closely with a team of data scientists and software engineers to develop cutting-edge solutions for our clients. This role requires strong programming skills in languages such as Python or R, as well as experience with machine learning frameworks such as TensorFlow or PyTorch. A strong understanding of statistics and mathematics is also essential. This is a full-time position located in Moscow, with the option for remote work. Visa sponsorship may be available for qualified candidates. We welcome applicants from all backgrounds and nationalities.

Salary: Competitive salary of 1000$ per week.

City: Moscow, Russia.

Requirements:
- Bachelor's degree or higher in computer science, mathematics, statistics or related field.
- Strong programming skills in languages such as Python or R.
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
- Familiarity with data preprocessing techniques and feature engineering.
- Understanding of statistical analysis methods.
- Ability to work independently and collaboratively in a team environment.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills in English.

Preferred qualifications:
- Master's or PhD degree in computer science, mathematics, statistics or related field.
- Experience with deep learning techniques.
- Knowledge of cloud computing platforms such as AWS or Azure.
- Previous experience working on real-world machine learning projects.
- Familiarity with natural language processing (NLP) techniques.

Responsibilities:
- Develop and implement machine learning algorithms and models to solve complex problems.
- Perform data preprocessing, feature engineering, model selection and evaluation tasks.
- Collaborate with data scientists and software engineers to develop cutting-edge solutions.
- Deploy models into production environments.
- Continuously improve and optimize existing models.
- Stay updated on latest developments and advancements in the field of machine learning.
- Communicate project progress and results to team members and clients.
- Participate in code reviews and provide constructive feedback.
- Assist in developing data pipelines and infrastructure for efficient data processing.

Benefits:
- Competitive salary and benefits package.
- Opportunities for growth and career advancement.
- Flexible work hours and remote work options.
- Collaborative and diverse work environment.
- Visa sponsorship may be available for qualified candidates.