AI/ML Engineer: Deploy LLMs & Scalable AI Solutions

Hermes Corporate; Verona; In loco; EUR 55.000 - 85.000; Tempo pieno

Descrizione del lavoro

Hermes Corporate in Verona, Italy, seeks an AI/ML Engineer to design and deploy AI-driven solutions tackling real-world challenges. You will build end-to-end data pipelines, fine-tune LLMs, and develop scalable deployment strategies for production use.

Collaborate with cross-functional teams, monitor model performance, and stay current with AI advances, LLMs, and optimization techniques, including quantization and pruning; the role offers exposure to cutting-edge tools and cloud platforms.

Competenze

• Bachelor’s degree in a related field (CS/CE/AI).
• 3+ years building and deploying AI/ML systems.
• Strong Python with PyTorch and/or TensorFlow.
• Experience with transformers and LLMs.
• Familiarity with model optimization (quantization, pruning).
• Solid grasp of MLOps and deployment workflows.
• Strong problem-solving and attention to detail.

Mansioni

• Design and deploy AI models for complex business problems
• Fine-tune LLMs 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
• Stay up to date with the latest in AI, LLMs, and model optimization

Conoscenze

Python

PyTorch

TensorFlow

Transformers

LLMs

MLOps

Formazione

Bachelor’s in Computer Science

Strumenti

Docker

Kubernetes

AWS

Descrizione del lavoro

Hermes Corporate in Verona, Italy, seeks an AI/ML Engineer to design and deploy AI-driven solutions tackling real-world challenges. You will build end-to-end data pipelines, fine-tune LLMs, and develop scalable deployment strategies for production use.

Collaborate with cross-functional teams, monitor model performance, and stay current with AI advances, LLMs, and optimization techniques, including quantization and pruning; the role offers exposure to cutting-edge tools and cloud platforms.