Artificial Intelligence Engineer

Buscojobs; Lombardia; Remoto; EUR 50.000 - 70.000; Part-time

Descrizione del lavoro

A leading technology firm in Italy is seeking a skilled freelance AI/ML Engineer to design and deploy AI-driven solutions. The role involves building AI models for business challenges, collaborating with teams, and optimizing model performance. Ideal candidates possess a Bachelor’s degree and over 3 years of practical experience in AI/ML systems, with strong Python skills and familiarity with MLOps.

Competenze

• 3+ years of hands-on experience building and deploying AI/ML systems.
• Experience with transformers and LLMs.
• Familiar with model optimization techniques like quantization and pruning.

Mansioni

• Design and deploy AI models for complex business problems.
• Build and manage data pipelines for model training and inference.
• Monitor model performance and optimize for accuracy.

Conoscenze

Python

MLOps

Problem-solving

Attention to detail

Model optimization

Formazione

Bachelor’s in Computer Science or related field

Strumenti

PyTorch

TensorFlow

Docker

Kubernetes

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 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

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