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 Offices and colleagues across 65+ countries
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ai engineer for client transformation employer: QuantumBlack, AI by McKinsey
At QuantumBlack, AI by McKinsey, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to push the boundaries of technology. With a focus on professional growth, we offer extensive training and development opportunities, ensuring that our team members thrive in their careers while working on impactful projects in vibrant cities like London and Madrid. Join us to be part of a diverse global team dedicated to solving complex engineering challenges with cutting-edge AI solutions.
Contact Details:
QuantumBlack, AI by McKinsey Recruitment Team
