AI/ML Specialist - Data Sciences with SAP Domain Expertise

Specialist - Data Sciences

35791

AI Developer

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 a powerful product engine that are vital to innovation at scale As part of Client Technology youll work with technologists and business experts blending EYs deep industry knowledge and innovative ideas with our platforms capabilities and technical expertise As a catalyst for change and growth youll be at the forefront of integrating emerging technologies into every corner of what we do within the SAP domain especially across data analytics and intelligent automation That means more growth for you exciting learning opportunities career choices and the chance to make a real impact UX Designer Word

Your key responsibilities

Design build and deploy solutions using AIML models supporting SAP related data processes including data profiling anomaly detection intelligent classification and NLP based rule parsing

Collaborate with SAP BDC teams to integrate AI driven automation into end to end data migration workflows

Develop intelligent data extraction agentsbots for structured semi structured and unstructured documents PDF Excel scanned inputs

Build and optimize data pipelines using Databricks and Azure Data Factory ensuring scalable ETLELT integrations with SAP and SAC

Work with cross functional engineers data architects and product managers to create reliable user centric AI solutions

Continuously enhance models via MLOps practices including monitoring retraining and validation

Translate business requirements into technical AI capabilities aligned with SAP data transformation objectives

Communicate effectively with stakeholders to align on business goals technical feasibility and data quality requirements

Participate in user research centric sessions such as data discovery workshops or process design activities

Combine technical creativity with a strong understanding of data engineering and AI solution design

Skills and attributes for success

Strong hands on expertise in AIML development Python Scikit learn TensorFlow or PyTorch

Practical experience with SAP BDC SAP Analytics Cloud SAC and SAP centric data models

Experience building orchestration workflows using Azure Data Factory and Databricks Delta PySpark MLflow

Familiarity with Azure ML or equivalent cloud ML platforms

Strong problem solving skills with the ability to navigate complex data landscapes

Excellent communication collaboration and presentation competences to support cross team execution

Experience working across functions in large organizations

Ability to manage ambiguity and iterate quickly through prototypes PoCs and productionization cycles

Ideally youll also have

Bachelors degree in Computer Science Data Engineering AIML or a related technical discipline

4 years of experience in AI engineering data engineering or applied ML roles

Experience in SAP data migration programs mastertransactional data domains or large enterprise transformation initiatives

Experience with MLOps tooling MLflow Azure DevOps CICD