Postes à Vitoria Gasteiz, Espagne

Help to revolutionise a fast-moving industry with cutting-edge AI :

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Our client is a globally recognised brand with deep-rooted expertise. They are heavily invested in leveraging AI to combine their domain expertise with SOTA techniques, solidifying their position as a leader in the field. You'll join a global team with a distributed set of skills including Research, Applied AI and Engineering.

They are seeking MLOps Engineers to help architect the future of communication through AI. This isn't just another engineering role – it's an opportunity to pioneer systems that transform how companies connect with their customers.

You'll be designing and optimising production-grade MLOps pipelines that bring cutting-edge Generative AI and LLMs from experimentation to real-world impact. Your expertise will directly influence how some of the world's leading brands enhance their strategies.

• Production-Ready GenAI Infrastructure: Design and deploy scalable MLOps pipelines specifically optimized for GenAI applications and large language models.
• State-of-the-Art Model Deployment: Implement and fine-tune advanced models like GPT and similar architectures in production environments.
• Hybrid AI Systems: Create solutions that integrate traditional ML techniques with cutting‑edge LLMs to deliver powerful insights.
• Automated MLOps Workflows: Build robust CI/CD pipelines for ML, enabling seamless testing, validation, and deployment.
• Cost‑Efficient Cloud Infrastructure: Optimize cloud resources to maximize performance while maintaining cost efficiency.
• Governance and Versioning Systems: Establish best practices for model versioning, reproducibility, and responsible AI deployment.
• Integrated Data Pipelines: Utilize Databricks to construct and manage sophisticated data and ML pipelines.
• Monitoring Ecosystems: Implement comprehensive monitoring systems to ensure reliability and performance.

• 4+ years of hands‑on experience in MLOps, DevOps, or ML Engineering roles.
• Experience with MLflow, DVC, Prometheus, and Grafana for versioning and monitoring.
• Proven expertise deploying and scaling Generative AI models (GPT, Stable Diffusion, BERT).
• Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face).
• Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services.
• Practical experience with Docker, Kubernetes, and container orchestration.
• Databricks expertise, including ML workflows and data pipeline integration.
• Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience).
• Fluency in written and spoken English.

• builder at heart – someone who loves creating scalable, production‑ready systems.
• balance technical excellence with pragmatic delivery.
• excited about pushing boundaries in GenAI and LLM technologies.
• communicate complex concepts effectively to diverse stakeholders.
• mentoring junior team members and elevating the entire technical organization.

You'll be working with a modern data stack designed to process large-scale information, automate analysis pipelines, and integrate seamlessly with AI‑driven workflows. This is your chance to make a significant impact on projects that push the boundaries of AI‑powered insights and automation in industry.

Location - this is a remote opportunity, but the successful candidate must reside permanently in Spain and not require sponsorship.

Hay opciones de teletrabajo / trabajo desde casa disponibles para este puesto.