Ernst and Young

Senior AI/ML Implementation Engineer

Ernst and Young
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20 hours ago
Wrocław, PolandSenior

Responsibilities

  • Develop AI applications and translate business ideas and technology requirements into IT plans, software architectures, and code.
  • Monitor technology trends and conduct research and development activities in AI and ML.
  • Apply modern AI and generative AI best practices.
  • Develop, validate, deploy, and monitor AI models.
  • Analyze and rank machine learning algorithms according to their likelihood of success for a given problem.
  • Establish and maintain development standards and best practices.
  • Integrate applications through REST APIs and work with cloud, database, SAP, big data, and MLOps technologies.
  • Share machine learning engineering practices and knowledge with the team.
  • Explore and visualize data and identify distribution differences that could affect real-world model performance.

Requirements

  • At least 3 years of experience in AI development.
  • Strong programming skills, including Python and knowledge of machine learning, data, and API libraries.
  • Experience developing and working with AI models.
  • Experience with cloud computing, including Azure, AWS, Docker, or Kubernetes.
  • Hands-on experience integrating applications through REST APIs.
  • Knowledge of SQL and NoSQL database techniques.
  • Experience with deep learning technologies including TensorFlow, PyTorch, scikit-learn, or XGBoost.
  • Experience with agentic AI development frameworks, protocols, and agent-to-agent interoperability.
  • Strong engineering mathematics skills, including advanced linear algebra, probability, and statistics.
  • Interest in understanding functional and industry business challenges.
  • Preferred: expertise in big data and data modeling.
  • Preferred: experience with SAP platforms, including SAP GenAI Hub, SAP AI Core, SAP AI Launchpad, SAP DataSphere, and SAP Analytics Cloud.
  • Preferred: understanding of AI capabilities in SAP Business Data Cloud and Databricks.
  • Preferred: experience with MLOps.
  • Self-starter, independent thinker, curious and creative, with ambition and passion.

Benefits

  • Hybrid work arrangement in Wrocław or Katowice with 2 days in the office and 3 days remote.
  • Continuous learning opportunities and development of future-oriented skills.
  • Tools and flexibility to make a meaningful impact and define success personally.
  • Leadership insights, coaching, and confidence-building opportunities.
  • Diverse and inclusive global culture with collaboration across EY teams and locations.

Tech Stack

AWSAzureDatabricksDockerKubernetesPythonPyTorchscikit-learnSQLTensorFlowXGBoost
Ernst and Young

About Ernst and Young

10,000+ employees

Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.

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