Artificial Intelligence Engineer

Hermes Corporate; Remoto; EUR 40.000 - 50.000; Part-time

Descrizione del lavoro

A technology-driven company in Torino is seeking a skilled freelance AI / ML Engineer to design and deploy solutions targeting complex real-world problems. The role entails developing AI models, fine-tuning LLMs, and collaborating with cross-functional teams. Ideal candidates will have a Bachelor's in Computer Science, over three years of experience in AI/ML, and strong proficiency in Python. Familiarity with MLOps, model optimization, and tools like PyTorch or TensorFlow is essential. This is a freelance opportunity offering flexibility in work location.

Competenze

• 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.

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.

Conoscenze

Python

MLOps

Problem-solving

Formazione

Bachelor's in Computer Science or related field

Strumenti

PyTorch

TensorFlow

Docker

Kubernetes

AWS

Azure

Descrizione del lavoro

We’re looking for a skilled freelance AI / ML Engineer to support us in designing and deploying AI‑driven solutions that tackle complex real‑world challenges.

What You’ll Do

• 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 inferenceDevelop 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

What We’re Looking For

• 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

Bonus Points (Preferred)

• Master’s degree in AI, ML, or related area
• Experience with Vision‑Language Models (VLMs) and multimodal AI
• Knowledge of embeddings, vector DBs, and semantic search
• Familiarity with LangChain, LlamaIndex, and RAG techniques
• Experience with Docker, Kubernetes, and cloud ML platforms (AWS, Azure)
• Industrial domain experience is a plus