AI Engineer developing scalable AI solutions at Frontiers, impacting research publishing through AI and advanced ML methodologies. Collaborating with cross-functional teams on strategic AI initiatives.
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.
Requirements
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.
Benefits
4 additional wellbeing days in addition to existing annual leave allowance
Access to learning platforms and dedicated learning & development time
A range of wellbeing initiatives, including free online yoga classes and an employee assistance plan
Employees can dedicate three days each year to volunteer
Additional benefits depending on your location (e.g. pension plan and private medical care)
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