EY AI Native Engineering SAP 

Poland, Silesian Voivodeship 

260980646

Your key responsibilities

• Assist in the collection and documentation of users’ requirements, development of user stories, estimates and work plans
• Ensure modern AI/Gen AI best practices are applied
• Develop, validate and deploy AI models.
• Establish and maintain development standards/best practices
• Analyze the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
• Share the knowledge on the best ML Engineering practices with the team

Skills and attributes for success

• 4+ years of experience in AI development.
• Strong programming skills, with expertise in languages like Python with a good knowledge of ML, Data and API libraries.
• Expertise in creating end-to-end data pipelines (sourcing, exploration, automation, etc.)
• Experience with AI model and its development.
• Should have knowledge in ModelOps/MLOps, AutoML, AI Ethics, Trust and Explainable AI
• Understanding of some of the popular ML frameworks such as SparkML, Tensorflow, scikit-learn, XGBoost, H2o etc.
• Experience working in a cloud environment (SAP, AWS, Azure, GCP) or a containerized environment (Mesos, Kubernetes)
• Experience in Agentic AI developments frameworks , protocols and Agent to agent interoperability.
• Interest in understanding functional and industry business challenges.

Ideally, you’ll also have

• Expertise in Big Data, Data Modelling
• Experience working with SAP platforms SAP GenAI Hub - SAP AI Core and AI Launchpad, SAP DataSphere, SAP Analytics Cloud.
• Understanding of AI capabilities in SAP Business Data Cloud (BDC) and Databricks
• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, and/or ensuring it via data cleaning
• Defining data augmentation pipelines
• Training models and tuning their hyperparameters
• Experience with IBM services for AI/ML (WatsonX, Assistant, Discovery or other)

Experience:

• Experience in LLM's, LSTM, RNN, Tensorflow, H2O are added advantage
• Experience in deploying AI/ML platforms on Kubernetes and Containerization
• Experience working with large data sets leveraging distributed systems e.g. Spark/Hadoop.
• Experience in managing AI/ML cluster features like API endpoints management, Security, SSO, Auditing, version control, etc

What we look for

• A self-starter, independent-thinker, curious and creative person with ambition and passion

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across nine locations – Argentina, Hungary, India, the Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning : You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

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