At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

 
SAP – AI/Gen AI Engineer

EY is a global leader in assurance, tax, transaction, and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization. 

Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you’ll work with technologists and business experts, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, you’ll be at the forefront of integrating emerging technologies from mobile application into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact. 

Your key responsibilities  

Monitor technology trends and perform R&D activities in AI/ML area.
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.
Cooperate with architects to design the system 
Establish and maintain development standards/best practices 
Present effects of work to different stakeholders (e.g., demo)  
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
Define validation strategies for ML solutions.

Skills and attributes for success  

7+ years of experience in ML development and MLOps.
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 ML 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)
Interest in understanding functional and industry business challenges.

Ideally, you’ll also have  

Expertise in Big Data, Data Modeling
Experience working with SAP platforms SAP AI Core, SAP Data Intelligence, Embedded Analytics in S/4HANA or SAP Analytics Cloud
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  

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
Good to have (additionally)  
Experience with IBM services for AI/ML (WatsonX, Assistant, Discovery or other) 

What we look for

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

EY | Building a better working world 

 
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.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.