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 integral 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 global, 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 xugodme (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