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Wallet icon Coin icon Rate 6 600 € - 7 200 € / month info
Timer icon Form of cooperation Part-time
Briefcase icon Sector Logistics
Location icon Location 100% Remote

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

Project duration 6 months with the possibility of extension
Period of cooperation 11.08.2025 - 10.02.2026
Start date 11.08.2025 - 18.08.2025
Technology
  • Python
  • Azure DevOps
  • Azure Machine Learning
Languages
  • English flag English - active, B2/C1/C2

Project description

  • development of a GenAI Gateway that enables the safe and scalable deployment of generative AI models in an enterprise environment
  • solving the scalability and availability of AI services so that data scientists and developers can use generative models in real-time without limitations
  • collaboration with data scientists and AI engineers to understand the requirements and goals of the models
  • solving problems related to the functionality and performance of GenAI models
  • monitoring the performance and availability of the GenAI proxy, identifying and eliminating bottlenecks
  • collaboration with network and infrastructure teams to ensure connectivity and scalability of the GenAI proxy in the Microsoft Azure environment
  • communication with stakeholders, including data scientists, AI engineers, and other IT teams, to exchange information and ensure requirements are met
  • collaboration takes place 100% remotely, must be located in EU countries
  • part-time collaboration (50%)

Project requirements

  • Advanced experience with:
    • ML model development – design, implementation, and tuning of end-to-end pipelines for model training and inference (at least 3 years)
    • GenAI – experience with generative models, hyperparameter optimization, and scaling (at least 3 years)
  • Experience with:
    • Data science – statistical data analysis, feature engineering, and result validation
    • Data engineering – design and operation of ETL/ELT processes, data warehouse management, and transformation of large data volumes
    • Python development – writing clean, modular code, unit testing, and working with libraries like Pandas or NumPy
  • Advanced knowledge of:
    • Azure ML – compute cluster management, model deployment via endpoints, and performance monitoring (at least 2 years)
    • English language at B2 level or higher for daily communication
  • Knowledge of:
    • Microsoft Azure – basic service management, cost control, and environment security
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