Machine Learning Engineer vacancy in Izhevsk Russia

Machine Learning Engineer

As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and models. Your main goal will be to use advanced statistical and predictive modeling techniques to create innovative solutions for our company. You will work closely with data scientists and software engineers to identify business needs and design appropriate solutions. Additionally, you will be responsible for evaluating the performance of existing models and continuously improving them. To excel in this role, you should have strong programming skills and a deep understanding of machine learning algorithms. This is a full-time position based in Izhevsk, with a salary of 1800$ per month.

Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, or related field
- Minimum of 2 years of experience in machine learning or data science
- Proficiency in programming languages such as Python or R
- Strong knowledge of machine learning techniques such as regression, classification, clustering, deep learning, etc.
- Experience with data wrangling and feature engineering
- Familiarity with databases and SQL
- Excellent analytical and problem-solving skills
- Ability to work independently as well as part of a team
- Good communication skills in English

Preferred Requirements:
- Experience with big data technologies such as Hadoop or Spark
- Knowledge of natural language processing (NLP) techniques
- Experience with cloud computing platforms (e.g. AWS, Azure)
- Familiarity with version control systems (e.g. Git)

At our company, we value diversity and are committed to providing equal opportunities for all employees. This position is open to professionals from all backgrounds including Indians living in Izhevsk or considering relocation. We also welcome applications from English-speaking candidates looking for part-time employment or women seeking employment opportunities. If you are passionate about machine learning and want to work in a dynamic environment where your ideas are valued and encouraged, apply now!