AI Solutions Engineer at McKinsey Magyarországi Fióktelepe – Budapest | Jobyssey

Design and build innovative AI solutions combining advanced software development and data engineering
Collaborate with global technologists, data scientists, and industry experts to transform businesses through advanced analytics and AI-driven solutions
Develop scalable data pipelines tailored for machine learning and AI applications
Build maintainable, scalable, and secure software products and services from the ground up
Assess data landscapes, ensure data quality, and prepare data for advanced analytics models
Manage secure data environments
Contribute to research and development initiatives and internal asset development
Participate in cross-functional problem-solving sessions with client leaders to shape digital strategies
Mentor client teams on engineering best practices, user-centric design, and Agile values
Partner with QuantumBlack, AI by McKinsey and QuantumBlack Labs teams to create cutting-edge machine learning systems

Degree in Computer Science, Engineering, Mathematics, or equivalent experience
2+ years of professional experience in building and deploying data solutions and software products
Strong coding skills in Python
Experience working with structured, semi-structured, and unstructured data
Hands-on expertise in containerization and orchestration using Docker and Kubernetes for scalable production systems
Familiarity with distributed computing frameworks such as Spark and Dask
Familiarity with cloud platforms such as AWS, Azure, and GCP
Familiarity with analytics libraries such as pandas, numpy, and matplotlib
Exposure to DevOps, DataOps, and MLOps concepts and best practices
Experience with core technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud services (AWS/GCP/Azure)
Demonstrated experience working collaboratively with developers and technical and non-technical people within software teams
Experience working in Agile teams including active participation in sprint ceremonies
Exceptional time management in a complex and largely autonomous work environment
Strong communication skills in English and local office language(s) with ability to adjust style to different perspectives and seniority levels

Experience in Scala or Java
Experience with Generative AI or agentic systems including building Retrieval-Augmented Generation systems, implementing large language models, or integrating advanced AI frameworks
Exposure to AI modeling frameworks such as TensorFlow, PyTorch, Keras, or Scikit-Learn
Familiarity with AI Governance and Safety principles including Responsible AI practices, bias and hallucination testing, and LLM safety guardrails

Continuous learning culture with structured programs and clear, actionable feedback
A voice that matters with opportunities to make tangible impact and contribute innovative ideas
Global community with colleagues across 65+ countries and over 100 nationalities
World-class benefits including competitive salary based on location, experience, and skills
Comprehensive benefits package enabling holistic well-being for employees and their families

AI Solutions Engineer

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