AI/ML Engineer — Design, Fine-Tune & Deploy Models

Hermes Corporate; Pistoia; In loco; EUR 65.000 - 90.000; Tempo pieno

Descrizione del lavoro

Hermes Corporate is seeking an AI/ML Engineer to design and deploy AI-driven solutions that tackle complex real-world challenges. You will fine-tune LLMs, build data pipelines, and collaborate with cross-functional teams to bring AI-powered applications into production.

The role requires 3+ years of hands-on experience with Python, PyTorch/TensorFlow, and model optimization techniques. A strong focus on scalable deployment and ongoing model monitoring is 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.
• 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

Problem solving

Attention to detail

Team collaboration

Formazione

Bachelor's in Computer Science or related field

Strumenti

Python

PyTorch

TensorFlow

Transformers

LLMs

Docker

Kubernetes

Descrizione del lavoro

Hermes Corporate is seeking an AI/ML Engineer to design and deploy AI-driven solutions that tackle complex real-world challenges. You will fine-tune LLMs, build data pipelines, and collaborate with cross-functional teams to bring AI-powered applications into production.

The role requires 3+ years of hands-on experience with Python, PyTorch/TensorFlow, and model optimization techniques. A strong focus on scalable deployment and ongoing model monitoring is essential.