Machine Learning Engineer for Energy Innovation

6 hours ago

Remote, Czech Republic beBeeMachine Full time 1,500,000 - 2,500,000
Machine Learning Engineer for Energy Innovation

We are seeking a highly skilled and motivated Machine Learning Engineer to join our team. This role combines the core responsibilities of both a Python Developer and a Data Scientist, making it ideal for someone with a strong background in both software development and data science.

Key Responsibilities:
  • Design, develop, and deploy machine learning and deep learning models tailored to the energy sector, focusing on applications like predictive maintenance and virtual twins.
  • Implement sophisticated algorithms and data processing pipelines using Python and libraries such as sklearn, Keras, and PyTorch.
  • Continuously optimize models for performance, scalability, and reliability.
  • Apply power engineering knowledge to address specific industry challenges through data-driven solutions.
Requirements:
  • AI expertise
  • Machine learning skills
  • Python proficiency
  • Data science knowledge
  • Keras and PyTorch experience
  • Deep learning skills
  • NoSQL database management
  • Data engineering tools
  • Docker and Portainer familiarity
  • Git version control
  • Strong communication skills
  • AWS cloud computing experience
  • Jira project management
Benefits:
  • Flexible remote work arrangement
  • Competitive salary
  • Dynamic and supportive work environment
  • Opportunity to work on projects with real-world impact
  • Access to the latest tools and technologies

As a Machine Learning Engineer at our company, you will have the opportunity to work on cutting-edge projects that drive significant innovations in the energy sector. If you are passionate about AI, machine learning, and data science, and want to make a meaningful contribution to the future of energy sustainability and efficiency, we encourage you to apply.

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