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middle machine learning engineer

Machine Learning Engineering, Amazon SageMaker, Amazon Web Services, Python
Armenia, Georgia, India, Kazakhstan, Kyrgyzstan, Uzbekistan

We are seeking a remote Middle Machine Learning Engineer to join our team and work on a cutting-edge project that leverages the latest Amazon Web Services technologies. As a member of our team, you will be responsible for the development and deployment of machine learning models that will be used to solve some of the most challenging problems in the industry. You should have a deep understanding of the entire ML lifecycle, including data preparation, model training, and deployment.

  • Develop machine learning models using Amazon SageMaker and other AWS technologies
  • Collaborate with cross-functional teams to identify business opportunities and translate them into machine learning problems
  • Work with massive datasets and distributed computing frameworks such as Spark or Hadoop to develop and test machine learning models
  • Deploy machine learning models to production using AWS technologies
  • Monitor model performance and make necessary changes to improve accuracy and efficiency
  • Contribute to the continuous improvement of the ML lifecycle and the development of best practices
  • Communicate effectively with stakeholders to ensure that ML solutions meet business requirements
  • At least 2 years of experience developing machine learning models 
  • Expertise with Amazon SageMaker and other AWS technologies
  • Experience with the end-to-end ML lifecycle, including data preparation, model training, and deployment
  • Proficiency with Python and its associated libraries
  • Good understanding of software engineering principles and experience with software development best practices 
  • Upper-Intermediate level of English proficiency
nice to have
  • Experience in building model artefacts and deployment to AWS ecosystem

benefits for locations

For you
  • Medical insurance package for you and your family
  • Stable income
  • Paid sick leave days
For your comfortable work
  • 100% remote work forever
  • Free licensed software
  • Possibility to work on your own device (BYOD)
  • Stable workload
  • Relocation opportunities
  • Flexible engagement models
For your growth
  • Free trainings for technical, soft, and leadership skills
  • Access to LinkedIn Learning platform
  • Language courses
  • Access to internal and external e-Libraries
  • Certification opportunities
  • Skill advisory service
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