Overview

As part of EY’s Client Technology, work with technologists and business experts to integrate emerging technologies from mobile into client services. Apply AI/ML skills and platforms to deliver innovative solutions.

Responsibilities

• Collect and document user requirements
• Develop user stories, estimates, and work plans
• Apply modern AI/Gen AI best practices
• Develop, validate, and deploy AI models
• Establish and maintain development standards/best practices
• Analyze ML algorithms that could solve a given problem and rank by success probability
• Share knowledge with team about best ML engineering practices

Qualifications

• 4+ years of experience in AI development
• Strong programming skills in Python
• Expertise in languages like Python with good knowledge of ML, Data and API libraries
• Experience creating end-to-end data pipelines (sourcing, exploration, automation)
• Experience with AI model development
• Knowledge in ModelOps/MLOps, AutoML, AI Ethics, Trust and Explainable AI
• Familiarity with popular ML frameworks: SparkML, TensorFlow, scikit-learn, XGBoost, H2O
• Experience working in cloud environments (SAP, AWS, Azure, GCP)
• Experience in containerized environments (Kubernetes, Mesos)
• Interest in understanding functional and industry business challenges

Nice to have

• Experience with Big Data platforms and data modeling
• Experience working with SAP platforms: AI Core, Data Intelligence, Embedded Analytics in S/4HANA or SAP Analytics Cloud
• Experience in LLM's, LSTM, RNN, TensorFlow, H2O
• Experience deploying AI/ML platforms on Kubernetes and containerization
• Experience with large datasets using distributed systems (Spark/Hadoop)
• Experience managing AI/ML cluster features like API endpoints management, security, SSO, auditing, version control