LLM & AI Systems Engineer - Production & Pipelines

Hermes Corporate

Torino

In loco

EUR 65.000 - 100.000

Tempo pieno

14 giorni+
Generatore di candidature

Una candidatura apposita per questa offerta — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Descrizione del lavoro

Hermes Corporate is seeking an AI/ML Engineer to design and deploy AI-driven solutions that tackle real-world challenges from Torino.

You will fine-tune LLMs, build data pipelines, and deploy scalable models in production while collaborating with cross-functional teams.

A Bachelor’s in CS is required with 3 years of hands-on experience using PyTorch or TensorFlow, transformers, and MLOps. Strong problem-solving and attention to detail are essential.

Competenze

  • Bachelor’s in Computer Science or related field.
  • 3 years of hands-on experience building and deploying AI/ML systems.
  • Strong Python skills with PyTorch and/or TensorFlow.
  • Experience with transformers and LLMs.
  • Familiarity with model optimization (quantization, pruning, distillation).
  • Solid grasp of MLOps and deployment workflows.

Mansioni

  • Design and deploy AI models for complex business problems.
  • Fine-tune LLMs (e.g., LLaMA, Mistral, Falcon) for domain-specific tasks.
  • Build and manage data pipelines for model training and inference.
  • Develop scalable model deployment strategies in production environments.
  • Collaborate with cross-functional teams to build AI-powered applications.
  • Monitor model performance and optimize for accuracy and efficiency.

Conoscenze

Python
PyTorch
TensorFlow
LLMs
MLOps
Data pipelines
Problem solving

Formazione

Bachelor's in CS

Strumenti

Docker
Kubernetes
AWS
Azure

Descrizione del lavoro

Hermes Corporate is seeking an AI/ML Engineer to design and deploy AI-driven solutions that tackle real-world challenges from Torino.

You will fine-tune LLMs, build data pipelines, and deploy scalable models in production while collaborating with cross-functional teams.

A Bachelor’s in CS is required with 3 years of hands-on experience using PyTorch or TensorFlow, transformers, and MLOps. Strong problem-solving and attention to detail are essential.

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