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Wallet icon Coin icon Rate 7 000 € - 7 800 € / month info
Timer icon Form of cooperation Full-time
Briefcase icon Sector Energy, Artificial Intelligence
Location icon Location 100% Remote

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration 3-9 months with the possibility of extension
Period of cooperation 01.01.2026 - 31.03.2026
Start date 01.01.2026 or by agreement
Technology
  • SQL
  • Python
  • FastAPI
Languages
  • English flag English - active, B2/C1/C2

Project description

  • collaboration in the implementation of AI/ML algorithms to optimize the energy efficiency of IT infrastructure
  • focus on Edge Computing infrastructure (hardware, software, network, external devices...)
  • development of AI/ML models that dynamically optimize energy usage within the Edge Computing infrastructure (automatic workload scheduling, resource allocation, load balancing...)
  • implementation and use of predictive algorithms to predict energy demand
  • implementation of AI/ML techniques to minimize energy consumption (processing at the end device, reducing the need for data transmission)
  • conducting research on modern AI/ML approaches for energy (ecological AI, energy-efficient algorithms)
  • research of suitable tools for the use of AI
  • communication with internal and external stakeholders
  • collaboration possible in 100% REMOTE mode with occasional travel (Slovakia, Germany) with reimbursement of travel expenses

Project requirements

  • min. 3 years of active experience with Python in the field of data analysis and machine learning
  • Excellent knowledge of AI/ML issues
  • Product Owner approach
     
  • experience with:
    • programming in Python
    • design and development of AI/ML solutions – classification, prediction, recommendation systems
    • building and managing LLM models and agents (including MCP servers)
    • data integration from various sources (external APIs, SQL databases, internal platforms)
    • solution architecture design (microservices, FastAPI, Python backend)
    • implementation of machine learning and predictive algorithms
       
  • experience with/in is an advantage:
    • projects in the energy sector
    • AI/ML development tools (TensorFlow, PyTorch, Keras)
    • public research projects
    • open-source environment
    • solution design and system architecture
       
  • knowledge of English at a conversational level (both spoken and written)
     
  • strong analytical thinking
  • excellent communication skills
  • enthusiasm for ecology and sustainability
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