Experteer Overview

La experiencia que se espera de los solicitantes, así como las habilidades y cualificaciones adicionales necesarias para este trabajo, se enumeran a continuación.
In this role you will design and build AI-driven solutions at scale, collaborating with a global network of technologists to transform client businesses. You develop data pipelines and software products, mentor client teams, and shape engineering culture while applying responsible AI practices. You operate across a fast-paced, outcome-focused environment that emphasizes continuous learning and cross-functional problem solving. This is a growth-oriented opportunity to accelerate your leadership in AI and analytics.

Compensaciones / Beneficios
• Architect and build scalable data pipelines for machine learning and AI applications
• Develop software products and services from the ground up with maintainability, scalability, and security in mind
• Collaborate with cross-functional teams to assess data landscapes, ensure data quality, and prepare data for analytics models
• Manage secure data environments and contribute to Ru0026D and internal asset development
• Mentor client teams on engineering best practices, user-centric design, and Agile values
• Engage in cross-functional problem-solving with client leaders to shape digital strategies




• Deliver AI-driven solutions that extend beyond the product and drive meaningful client outcomes
• Participate in general, collaborative efforts with QuantumBlack, AI by McKinsey, and QuantumBlack Labs teams

Responsabilidades
• 2+ years of professional experience in building and deploying data solutions and software products
• Strong coding skills in Python; Scala or Java a plus
• Experience with structured, semi-structured, and unstructured data
• Hands-on with Docker and Kubernetes for production systems
• Familiarity with Spark, Dask, cloud platforms (AWS, Azure, GCP), and analytics libraries xqbhyrx (pandas, numpy, matplotlib)
• Exposure to DevOps, DataOps, and MLOps concepts and practices
• Experience with Python, PySpark, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud services
• Experience with Generative AI (GenAI) or agentic systems is a plus; knowledge of LLMs and AI frameworks is beneficial
• Experience collaborating with both technical and non-technical teammates in Agile settings
• Strong time management and communication skills in English and local languages

Requisitos principales
• competitive salary
• comprehensive benefits package

📌 AI Engineer - QuantumBlack, AI by McKinsey (Madrid)
🏢 McKinsey u0026
📍 Madrid