AI Engineer job opportunity at Frontiers Media.

_{2026-02-09T12:54:42.625Z} bot

Frontiers Media AI Engineer

Experience: 5-years

Pattern: Full-time

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Madrid....Spain

Who we are We are on a mission to make all science open, enabling the research community to develop the solutions we all need to live healthy lives on a healthy planet. Frontiers is one of the world’s largest and most impactful research publishers, dedicated to making peer-reviewed, quality-certified science openly accessible. Our articles have been viewed 4 billion times, reflecting the power of research that is open for all. Follow the links below to learn more about our work. www.frontiersin.org/about/annual-reports www.youtube.com/watch?v=87ejFfnQzko About the Role: We seek an exceptional AI Engineer  to contribute to the end-to-end design, development, and deployment of strategic AI initiatives. You will play a critical role in architecting scalable, robust, and secure AI and LLM-powered solutions, significantly impacting business operations and strategic decision-making. In this role, you will work in cross-functional teams, and participate in key technical decisions involving complex data engineering, advanced ML models, and next-generation LLM methodologies. Bring your deep technical expertise, strategic vision, and passion for AI innovation to our expanding team! Key Responsibilities: Contribute defining comprehensive, scalable AI architectures, and to develop complex integration of data processing, traditional machine learning, and emerging LLM methodologies. Support deployment, monitoring, and continuous optimization of ML pipelines and LLM models in production contexts. Actively align technical innovation with organizational business strategies and OKRs, collaborating closely with stakeholders across multiple functions. Adopt and promote quality and excellence, contributing to documentation and knowledge-sharing. Contribute to troubleshooting and complex problem-solving efforts, ensuring robust and reliable ML systems and LLM deployments. Typically 3–5+ years of professional AI experience, demonstrating a successful track record of developing and deploying enterprise-scale AI systems. Strong proficiency in Python, SQL, cloud platforms (e.g., AWS, Azure, GCP), and container orchestration tools (Docker, Kubernetes). Extensive practical experience with production ML frameworks, advanced LLM models, fine-tuning, prompt engineering, performance optimization, and orchestration tools (Apache Airflow). Exceptional communication, with expertise communicating complex technical concepts clearly across all stakeholder levels. Proven problem-solving excellence and ability to continuously adapt, learn, and integrate evolving AI techniques. Nice-to-Have Skills: Proven ability in infrastructure as code (Terraform) for scalable AI solutions, sophisticated system design, and data governance practices. Demonstrable experience in secure and robust AI deployments. Deep interest and experience in generative AI, LLM innovation, and continuous professional knowledge-building.

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