Ernst and Young

Senior AI/ML Implementation Engineer

Ernst and Young
Apply
17 days ago
Wrocław, PolandSenior

Responsibilities

  • Build AI applications and translate business ideas and technology requirements into IT plans, software architectures, and code.
  • Monitor technology trends and conduct R&D in AI and ML.
  • Develop, validate, deploy, and monitor AI models using modern AI and generative AI practices.
  • Analyze and rank ML algorithms based on their likelihood of solving business problems successfully.
  • Establish development standards and share ML engineering practices with the team.
  • Develop agentic AI solutions and work with agent interoperability frameworks and protocols.
  • Explore and visualize data, identify distribution differences, and assess their impact on real-world model deployment.
  • Apply MLOps practices and integrate applications through APIs.

Requirements

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

Benefits

  • Hybrid work arrangement: 2 days in the office and 3 days remote in Wrocław or Katowice.
  • Continuous learning opportunities and support for developing new skills.
  • Tools and flexibility to make a meaningful impact in a way aligned with the employee’s goals.
  • Leadership insights, coaching, and confidence-building support.
  • Diverse and inclusive global work culture with collaboration across EY teams, locations, service lines, and sectors.

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.

Contact me