AI Specialist: LLM Prototyping, RAG & Fine-Tuning

Hermes Corporate

Italia

In loco

EUR 70.000 - 110.000

Tempo pieno

2 giorni fa
Candidati tra i primi

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Descrizione del lavoro

Hermes Corporate is seeking an AI Specialist with strong expertise in Large Language Models (LLMs) to develop, fine-tune, and evaluate AI/ML models. The role emphasizes rapid prototyping and applied research in RAG architectures and agentic systems.

The ideal candidate will work hands-on with open-source models like LLaMA, Mistral, and Falcon and collaborate with AI Engineers to transition successful proofs of concept into production environments.

Competenze

  • 3+ years of experience in developing AI solutions.
  • Strong foundation in machine learning and deep learning.
  • Proficiency in Python and frameworks such as PyTorch or TensorFlow.
  • Hands-on experience with transformer architectures and LLMs.
  • Experience with fine-tuning, embeddings, and model evaluation.
  • Ability to rapidly prototype and iterate on ideas.

Mansioni

  • Develop, train, and evaluate AI/ML models, with a strong emphasis on LLMs.
  • Work with open-source LLMs such as LLaMA, Mistral, and Falcon.
  • Design and build proofs of concept (POCs) to validate AI use cases and technical approaches.
  • Fine-tune models for domain-specific applications.
  • Conduct applied research on LLMs, RAG, and agentic systems.
  • Analyze model performance and propose improvements.
  • Stay up to date with advancements in AI and machine learning.
  • Collaborate with AI Engineers to support productionization efforts.

Conoscenze

AI research
LLMs
Python
PyTorch
TensorFlow
Model evaluation
Rapid prototyping
Data analysis

Formazione

Master's or PhD in AI/ML or related field

Strumenti

PyTorch
TensorFlow
Vector databases

Descrizione del lavoro

Hermes Corporate is seeking an AI Specialist with strong expertise in Large Language Models (LLMs) to develop, fine-tune, and evaluate AI/ML models. The role emphasizes rapid prototyping and applied research in RAG architectures and agentic systems.

The ideal candidate will work hands-on with open-source models like LLaMA, Mistral, and Falcon and collaborate with AI Engineers to transition successful proofs of concept into production environments.

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