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AI Researcher and Developer

We approach AI development as classical Machine Learning work, distinctly separate from pure engineering or intuition-based ad-hoc prompt engineering. All our GenAI integrations emphasize formal task definitions, statistically significant measurements, and logical reasoning based on observed facts.

Responsibilities:

  • Understand tasks and formalize requirements, proactively verifying them when necessary.
  • Stay current with the rapidly evolving GenAI landscape, maintaining up-to-date knowledge of AI capabilities.
  • Formulate and test various GenAI hypotheses.
  • Contribute to GenAI solution design, bringing art-of-the-possible to the table.
  • Transform research findings into practical GenAI solutions.
  • Own AI-based components of GenAI applications.

Required Skills and Qualifications:

  • Being good in core Python.
  • Familiarity with Nox and Pydantic frameworks.
  • Background in Data Science and experience with Machine Learning.
  • Expertise in Data Science tools: JupyterLab, scikit-learn, Pandas, and Plotly.
  • Strong foundation in statistical evaluation of stochastic systems.
  • Hands-on experience with diverse GenAI models across different modalities.
  • Proven ability in experimental design and critical thinking.
  • Experience with AI model deployment and prompt engineering.

Nice to Have:

  • Knowledge graph and ontology experience.
  • Practical expertise in one or more business domains.

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