AI/ML Engineer: Build Scalable Real-World AI Solutions

Hermes Corporate; Plasencia; In loco; EUR 50.000 - 80.000; Tempo pieno

Descrizione del lavoro

Hermes Corporate in Piacenza, Emilia-Romagna, is seeking an AI/ML Engineer to design and deploy AI-driven solutions for real-world challenges. You will build scalable models, fine-tune LLMs, and create robust data pipelines for training and inference.

The ideal candidate has a Computer Science degree and 3+ years of hands-on AI/ML experience, strong Python and PyTorch/TF skills, and a solid grasp of MLOps and deployment workflows. Knowledge of Docker, Kubernetes, and cloud platforms is a plus.

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.
• Strong problem-solving skills 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

LLMs

Transformers

MLOps

Problem-solving

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

Docker

Kubernetes

AWS

Azure

Descrizione del lavoro

Hermes Corporate in Piacenza, Emilia-Romagna, is seeking an AI/ML Engineer to design and deploy AI-driven solutions for real-world challenges. You will build scalable models, fine-tune LLMs, and create robust data pipelines for training and inference.

The ideal candidate has a Computer Science degree and 3+ years of hands-on AI/ML experience, strong Python and PyTorch/TF skills, and a solid grasp of MLOps and deployment workflows. Knowledge of Docker, Kubernetes, and cloud platforms is a plus.