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 general 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 teamsResponsabilidades• 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 languagesRequisitos principales• competitive salary• comprehensive benefits package

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