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описание
QuantumBlack, AI by McKinsey partners with clients to transform their businesses through advanced analytics and AI-driven solutions. Its teams build machine learning systems to accelerate AI adoption and solve complex business problems at scale.
задачи
Design and build innovative AI solutions combining software development and data engineering
Develop scalable, modular, and reproducible data pipelines for machine learning and AI applications
Build maintainable, scalable, and secure software products and services from the ground up
Collaborate with cross-functional teams to assess data landscapes, ensure data quality, and prepare data for advanced analytics models
Manage secure data environments and contribute to research and development initiatives and internal asset development
Participate in problem-solving sessions with client leaders to help shape digital strategies and deliver solutions beyond the product itself
Mentor client teams on engineering best practices, user-centric design, and Agile values
Partner with QuantumBlack and QuantumBlack Labs teams to create machine learning systems
требования
Degree in Computer Science, Engineering, Mathematics, or equivalent experience
At least 2 years of professional experience building and deploying data solutions and software products
Strong Python coding skills
Experience with structured, semi-structured, and unstructured data
Hands-on expertise in Docker and Kubernetes for scalable production systems
Familiarity with distributed computing frameworks such as Spark and Dask, cloud platforms such as AWS, Azure, and GCP, and analytics libraries such as pandas, numpy, and matplotlib
Exposure to DevOps, DataOps, and MLOps concepts and best practices
Experience with Python, PySpark, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud services such as AWS, GCP, and Azure
Experience with AI modeling frameworks such as TensorFlow, PyTorch, Keras, or Scikit-Learn, and familiarity with AI Governance and Safety principles, including Responsible AI practices, bias and hallucination testing, and LLM safety guardrails
Experience collaborating with developers and technical and non-technical colleagues in software teams
Experience working in Agile teams and actively participating in sprint ceremonies
Strong time management skills for responsibilities in a complex, largely autonomous work environment
Strong written and verbal English skills and proficiency in the local office language(s); able to adapt communication to different perspectives and seniority levels
Будет плюсом: Scala or Java experience, experience with Generative AI or agentic systems, building RAG systems, implementing LLMs, or integrating advanced AI frameworks
условия
Competitive salary based on location, experience, and skills
Comprehensive benefits package supporting the well-being of the employee and their family
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