AI/ML Engineer: Deploy & Optimize LLMs at Scale

Hermes Corporate; Italia; In loco; EUR 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

Hermes Corporate seeks an AI/ML Engineer to design and deploy AI-driven solutions, fine-tune LLMs, and build scalable data pipelines for training and inference. The role requires collaborating with cross-functional teams to deliver AI-powered applications and to monitor and optimize model performance.

The ideal candidate has 3+ years of hands-on AI/ML experience, strong Python skills with PyTorch or TensorFlow, and familiarity with transformers and model optimization techniques.

Competenze

• Bachelor’s degree 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.

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.
• Stay up to date with the latest in AI, LLMs, and model optimization.

Conoscenze

Python

PyTorch

TensorFlow

Transformers

MLOps

Data pipelines

Model deployment

Problem solving

Formazione

Bachelor's degree in Computer Science or related field

Master's degree in AI/ML (preferred)

Strumenti

Docker

Kubernetes

AWS

Azure

LangChain

LlamaIndex

RAG techniques

Descrizione del lavoro

Hermes Corporate seeks an AI/ML Engineer to design and deploy AI-driven solutions, fine-tune LLMs, and build scalable data pipelines for training and inference. The role requires collaborating with cross-functional teams to deliver AI-powered applications and to monitor and optimize model performance.

The ideal candidate has 3+ years of hands-on AI/ML experience, strong Python skills with PyTorch or TensorFlow, and familiarity with transformers and model optimization techniques.