Machine Learning Engineer vacancy in Moscow Russia

Machine Learning Engineer


As a Machine Learning Engineer, you will be responsible for designing and implementing machine learning algorithms to solve complex problems. Your work will help drive innovative solutions and contribute to the success of our company in Moscow. We welcome Indian applicants who are fluent in English, have their own visa, and are looking for job opportunities in a supportive workplace that values diversity and empowers women.

Key Responsibilities:
- Develop and implement machine learning algorithms to analyze large datasets and generate insights
- Collaborate with cross-functional teams to identify business problems that can be solved with machine learning techniques
- Build, train, and evaluate models using various tools and techniques such as deep learning, natural language processing, and computer vision
- Optimize models for performance and scalability
- Stay updated on the latest machine learning research to continuously improve our technology stack

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Proven experience as a Machine Learning Engineer or similar role
- Strong understanding of machine learning concepts such as regression, classification, clustering, etc.
- Proficiency in programming languages such as Python, Java or C++
- Experience with machine learning libraries like TensorFlow, PyTorch or Keras
- Familiarity with distributed computing frameworks like Spark or Hadoop is a plus
- Excellent problem-solving skills and ability to think creatively

Benefits:
- Competitive salary of 1600$
- Opportunities for growth and development in a fast-paced environment
- Supportive and inclusive workplace culture
- Flexible work arrangements
- Relocation assistance for non-local candidates

If you are passionate about using your skills in machine learning to make a real impact on our company's success in Moscow while also being part of a diverse team that values inclusion and empowers women, we would love to hear from you. Apply now!