AI Innovator

beBeeAI; Madrid; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A technology solutions company in Madrid is looking for a Senior AI Engineer to join their multidisciplinary team. The ideal candidate will develop intelligent systems for various industries, collaborating closely with data scientists and engineers. Required skills include proficiency in Python and AI libraries as well as experience with cloud platforms such as AWS. This is an exciting opportunity to work on high-priority projects in the AI space.

Servicios

Flexibility for model development

Opportunities for training and development

Formación

• Proficient in Python and popular AI libraries.
• Hands-on experience with cloud platforms and deploying AI services.
• Strong software engineering practices.

Responsabilidades

• Develop intelligent systems for clients across industries.
• Collaborate with stakeholders to translate requirements into solutions.
• Integrate models into production environments using cloud platforms.

Conocimientos

Python

AI libraries (PyTorch, TensorFlow)

Cloud platforms (Azure, AWS, GCP)

Software engineering practices (version control, CI/CD)

Descripción del empleo

Overview

Senior AI Engineer

We are seeking a seasoned AI expert to join our multidisciplinary team in Spain. This role is ideal for an experienced engineer who is passionate about designing and deploying AI-driven solutions, with a strong foundation in machine learning, generative AI, and cloud computing.

Responsibilities

• Develop intelligent systems for clients across industries, contributing to end-to-end AI product development, from ideation to deployment and evaluation.
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions.
• Integrate models into production environments using cloud platforms such as Azure, AWS, or Google Cloud.

Qualifications

• Proficient in Python and popular AI libraries (e.g., PyTorch, TensorFlow, LangChain, HuggingFace).
• Hands-on experience working with cloud platforms (Azure, AWS, or GCP) and deploying AI services in production.
• Strong software engineering practices (version control, CI / CD, testing, containerization).

Benefits

• Contribute to the standardization of methodologies for development, training, deploying, inference, and monitoring of AI use cases.
• Facing challenges related to MLOps practices, provide resources and tools for Data Scientists, give them flexibility for model development and robust methodology to allow its productivization, train models in an unattended way, monitorize the model performance, and generate retrain alarms.

About the Role

• To work on projects for leading companies in Spanish and European markets.
• To be involved in high-priority projects with visibility to senior leadership.
• To apply the latest technical innovations in artificial intelligence platforms in AWS.