Senior Machine Learning Engineer

Intellias; Cádiz; Híbrido; EUR 45.000 - 75.000; Jornada completa

Descripción de la vacante

Une entreprise dynamique recherche un Senior Machine Learning Engineer pour développer des systèmes AI innovants en utilisant Google AgentSpace et des modèles de langue. Vous travaillerez sur des applications ML cloud-native, intégrant des agents capables d'exécution de tâches autonomes. Ce poste demande des compétences avancées en machine learning et un esprit d’innovation, avec la possibilité de collaborer avec des équipes diverses tout en travaillant selon les horaires EST.

Formación

• Expérience avec Google AgentSpace ou ADK.
• Expertise en LLMs et qualité en Machine Learning.
• Pratique en MLOps, notamment avec Docker et CI/CD.

Responsabilidades

• Concevoir et mettre en œuvre des agents intelligents avec Google AgentSpace.
• Intégrer des LLMs dans des systèmes AI prêts pour la production.
• Construire des pipelines pour le déploiement ML sur GCP.

Conocimientos

Machine Learning

Generative AI

Python

Communication

Educación

Master’s or Ph.D. in Computer Science, Mathematics, Data Science

Herramientas

PyTorch

TensorFlow

Google Cloud Platform

Docker

Descripción del empleo

We're hiring a Senior Machine Learning Engineer with hands-on experience in Google AgentSpace / Agent Development Kit (ADK) Join Intellias to build next-generation AI-powered systems with one of the most exciting ML toolkits on the market today! We’re looking for a technically strong and innovation-driven Senior ML Engineer to work on LLM-based agents, autonomous task execution, and cloud-native ML applications. What you’ll be doing : Design and implement intelligent agents using Google AgentSpace or ADK Integrate Large Language Models (LLMs) into modular, production-ready AI systems Build pipelines for agent planning, memory, context, and API integration Work closely with a team of ML engineers and software architects to deploy scalable AI services Leverage cloud infrastructure (primarily GCP, optionally Azure) for real-world ML deployment We expect :

Master’s or Ph.D. in Computer Science, Mathematics, Data Science, or a related field. Experience with Google AgentSpace or Agent Development Kit (ADK). Proven experience with LLMs, Generative AI tooling, and applied machine learning. Proficiency in Python and machine learning frameworks such as PyTorch and TensorFlow. Hands-on experience with Google Cloud Platform (GCP), especially services like Vertex AI. Familiarity with agent orchestration concepts and cloud-based ML workflows. Experience with MLOps practices, including containerization (Docker) and CI / CD pipelines. Strong communication skills with the ability to collaborate across technical and non-technical teams. Ability to work during Eastern Standard Time (EST) hours. Nice to have :

Exposure to NotebookLM or similar GenAI prototyping tools. Google Cloud Professional Machine Learning Engineer certification. Experience integrating LLM-powered agents into enterprise or healthcare environments.