🚨 We’re Hiring:
Engineering Director – ML/AI Platforms | Hybrid (40% remote – 3 days onsite) 🚨We’re looking for an experienced and strategic Director of Engineering to lead the design, deployment, and scaling of our ML/AI platforms. This is a high-impact leadership role in one of the most cutting-edge AI projects in Spain — with growing international presence and collaboration. If you’re passionate about building world-class AI infrastructure, we’d love to meet you.🌍 Location:
Hybrid model with 3 days/week onsite (Donostia - San Sebastián)💼 Package:
Competitive base salary + bonus✈️ Relocation Support:
We’ll support your move if you’re relocating🌐 Language Requirement:
Full professional proficiency in English (minimum C1 level)🔧 What You’ll Be Leading:
- Strategic direction and technical leadership for the design, deployment, and optimization of ML/AI projects.- Building and scaling cloud-native infrastructure across AWS and Azure, with a focus on performance, security, and reliability.- Overseeing the full lifecycle of AI/ML systems in production, including DevOps/MLOps practices, automation, and monitoring.- Driving the implementation of infrastructure as code using Terraform, containerization with Docker, and orchestration via Kubernetes.- Collaborating cross-functionally with data science, engineering, and product teams to ensure systems align with business objectives.- Evaluating and integrating tools for Large Language Models (LLMs), including frameworks like LLaMa or similar technologies.- Leading and mentoring a team of engineers, fostering a culture of excellence, ownership, and continuous learning.✅ What You Bring:
- 8+ years of experience in engineering roles, with at least 3 years in technical leadership or director-level positions.- Proven experience deploying ML/AI systems in production environments at scale.- Deep knowledge of cloud platforms (AWS and Azure) and cloud-native architectures.- Strong background in SaaS environments and distributed systems.- Expertise in Docker, Kubernetes, and Terraform.- Solid understanding of DevOps/MLOps pipelines and best practices.- Familiarity with LLMs and experience working with related tooling (e.G., LLaMa or similar).- Excellent communication and leadership skills.- Minimum C1 level of English (spoken and written) required.If you’re a technical leader ready to shape the future of AI infrastructure in a fast-growing, international environment — we’d love to connect.👉 Apply now or reach out directly to start the conversation.