Generative AI Engineer

GIOS Technology

Manchester

Hybrid

GBP 30.000 - 42.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

GIOS Technology Limited in Manchester is hiring a Junior Gen AI Engineer for a hybrid role, four days per week in the office. You will work with Generative AI, LLMs, and document processing techniques to turn unstructured information into actionable insights.

You will use Python and SQL for data analysis and ML development, build and validate models for predictive analytics and classification, and help generate synthetic data and reliable datasets for testing and training.

Qualifikationen

  • Experience with Generative AI, LLMs, and document processing techniques.
  • Proficient in Python and SQL for data analysis and ML development.
  • Hands-on ML model development for predictive analytics, classification, or optimization.
  • Experience generating synthetic data and high-quality datasets for testing and training.
  • Ability to extract business rules or decision logic from policy documents or unstructured data.
  • Understanding of statistical methods, model evaluation metrics, and ML validation techniques.

Kenntnisse

Generative AI
LLMs
Data analysis
Statistical methods
Python
SQL
Machine learning development
Document processing

Tools

Python
SQL

Jobbeschreibung

We are hiring for Junior Gen AI Engineer
Location: Manchester - Hybrid / 4 days Per week in Office
  • Practical knowledge of Generative AI, LLMs, and document processing techniques.
  • Strong proficiency in Python and SQL for data analysis, manipulation, and machine learning development.
  • Hands-on experience developing and validating machine learning models for predictive analytics, classification, or optimisation.
  • Experience generating synthetic data and creating high-quality datasets for testing, training, and validation.
  • Experience extracting business rules, workflows, or decision logic from policy documents or other unstructured information.
  • Understanding of statistical methods, model evaluation metrics, and ML validation techniques.
Key Skills: Generative AI / LLMs / Python / data analysis / statistical methods
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