Senior Data Engineer (Data Science)
NewBe an early applicantSummary
A Senior AI/ML Engineer in Madrid leads development of production-grade AI systems using LLMs, RAG architectures, LangChain, LangGraph, and multi-agent workflows, collaborating with Product, Data, and Engineering teams. Core stack is Python, ML tooling, AWS, and Airflow, with hybrid working.
About the Company
Aunque la experiencia profesional y las cualificaciones son clave para este puesto, asegúrese de comprobar si posee las habilidades interpersonales preferibles antes de solicitar, si se requieren.
¿Tiene las siguientes habilidades, experiencia e impulso para tener éxito en este puesto? Join a fast-growing, product-led technology company using AI to transform the way millions of users learn, engage, and develop new skills.
We're looking for a Senior AI/ML Engineer to lead the development of production-grade AI systems, working with cutting-edge technologies including LLMs, RAG architectures, LangChain, LangGraph, and multi-agent workflows.
Collaborate with Product, Data, and Engineering teams
Strong Python, ML, and software engineering xqbhyrx experience
Track record deploying AI/ML systems into production
Experience with AWS, Airflow, ML platforms, or similar tooling
Hybrid working
Learning & development budget
Aunque la experiencia profesional y las cualificaciones son clave para este puesto, asegúrese de comprobar si posee las habilidades interpersonales preferibles antes de solicitar, si se requieren.
¿Tiene las siguientes habilidades, experiencia e impulso para tener éxito en este puesto? Join a fast-growing, product-led technology company using AI to transform the way millions of users learn, engage, and develop new skills.
We're looking for a Senior AI/ML Engineer to lead the development of production-grade AI systems, working with cutting-edge technologies including LLMs, RAG architectures, LangChain, LangGraph, and multi-agent workflows.
Collaborate with Product, Data, and Engineering teams
Strong Python, ML, and software engineering xqbhyrx experience
Track record deploying AI/ML systems into production
Experience with AWS, Airflow, ML platforms, or similar tooling
Hybrid working
Learning & development budget