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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.