Artificial Intelligence Engineer

g2 Recruitment; Madrid; Híbrido; EUR 50.000 - 70.000; A tiempo parcial

Descripción de la vacante

A leading recruitment agency is seeking a Freelance AI Engineer to join a financial services organization in Madrid. The role involves designing and deploying Large Language Models (LLMs) and implementing AI-driven solutions. Candidates should have 3-5 years of experience in machine learning engineering and proficiency in Python, with strong skills in cloud-based AI deployment. This is a hybrid position with a day rate of €550, dependent on experience.

Formación

• 3-5+ years of experience in Machine Learning engineering.
• Strong experience with deploying AI models in cloud environments.
• Experience with MLOps tools (e.g., Kubeflow, MLflow).

Responsabilidades

• Design, create, and deploy Large Language Models (LLMs).
• Collaborate with data teams to collect and clean datasets.
• Implement AI-driven automation for processes.

Conocimientos

Machine Learning engineering

Python proficiency

Experience with LLMs

Full-stack skills (React, TypeScript, Node.js)

API development

Herramientas

PyTorch

TensorFlow

Hugging Face

Descripción del empleo

Artificial Intelligence Engineer | Freelance | Hybrid | Catalonia

I am currently working with a respected financial services organisation that is looking to hire an AI Engineer on a freelance basis to enhance their Artificial Intelligence capabilities.

Role Details :

Job title: AI Engineer

Day rate: 550 Per Day (DOE)

Location: Catalonia

Working Model: Hybrid

Key Responsibilities :

• Design, create, and deploy Large Language Models (LLMs) with agentic capabilities.
• Collaborate with data teams to collect, clean, and pre-process large datasets from financial transactions, market data, or customer interactions.
• Deploy and integrate models with existing systems.
• Implement AI-driven automation for processes.

Essential Skills :

• 3-5+ years of experience in Machine Learning engineering.
• Proficiency in Python, with experience in PyTorch, TensorFlow, or Hugging Face.
• Strong experience with LLMs, Retrieval-Augmented Generation (RAG), and deploying AI models in cloud environments.
• Full-stack skills (React, TypeScript, Node.js) and API development experience.

Desirable Skills :

• Expertise in reinforcement learning and optimization algorithms.
• Proficiency in edge AI and IoT integration.
• Experience with MLOps tools (e.g., Kubeflow, MLflow).
• Knowledge of computer vision and image processing.
• Familiarity with federated learning for privacy-preserving AI.

If you are interested, please apply or send your CV to [contact information].