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AI/ML Architect

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Description

You will be responsible for:

  • Designing architectures for GenAI applications, including RAG and agentic workflows
  • Developing and maintaining Python code, APIs, and microservices for AI integration
  • Reviewing code and identifying areas for improvement
  • Collaborating with stakeholders and participating in presales activities
  • Working with data scientists and ML engineers to integrate AI models
  • Evaluating GenAI model performance through experiments and testing
  • Collaborating with cross-functional teams throughout the project lifecycle
  • Using coding agents to continuously improve development workflows
  • Staying up to date with GenAI advancements and contributing to an innovative team culture

Additional advantages, but not required:

  • Knowledge of another object-oriented language (Java/C#/C++)
  • Familiarity with ML algorithms and libraries such as scikit-learn and PyTorch
  • Experience with clinical data processing or pharma R&D use cases

What you will need:

  • At least 8 years of experience and strong proficiency in the Python ecosystem
  • Experience building Python back-end services using FastAPI or Flask, SQL, and NoSQL databases
  • Knowledge of clean code and design patterns, with a focus on high-quality solutions
  • Experience writing robust unit tests
  • Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-native technologies
  • Familiarity with CI/CD processes
  • Strong problem-solving and analytical skills
  • Ability to work independently and collaboratively
  • Very good command of English and Polish
  • Strong communication and presentation skills


Skills

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See also

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