Artificial Intelligence Engineer

Hermes Corporate; Napoli; Remoto; EUR 50.000 - 70.000; Part-time

Descrizione del lavoro

A technology solutions company is seeking a skilled freelance AI / ML Engineer to design and deploy AI-driven solutions. Candidates should have a Bachelor’s degree in Computer Science, with at least 3 years of relevant experience, particularly in deploying AI / ML systems. Strong Python skills and familiarity with frameworks like PyTorch and TensorFlow are essential. The role offers opportunities to work on complex challenges in AI applications.

Competenze

• 3+ years of hands-on experience building and deploying AI / ML systems.
• Strong skills in Python, especially with PyTorch and/or TensorFlow.
• Familiarity with model optimization techniques.

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.

Conoscenze

Python

AI / ML systems

Problem-solving

Formazione

Bachelor’s in Computer Science or related field

Strumenti

PyTorch

TensorFlow

Descrizione del lavoro

Overview

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.

Responsibilities

• 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

Qualifications

• 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