Job Description
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 yourself. We’re counting on your voice and perspective to help EY improve and grow.
Cloud AI Engineer
The Opportunity
We are the only professional services organization with a dedicated business for the financial services marketplace. Joining the Digital Engineering Team means working with global, multidisciplinary teams to deliver cross-industry solutions.
Key Industries: Asset management, Banking and Capital Markets, Insurance, Private Equity, Health, Government, Power, and Utilities.
Our Mission: Provide integrated advisory, assurance, tax, and transaction services, facilitating professional development and leadership.
Role Overview
We seek a talented AI Engineer to collaborate with our AI Architect, with skills in AI/ML, data engineering, and cloud technologies focused on Generative AI (GenAI).
Your Responsibilities
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AI/ML Model Development:
- Develop and train models with frameworks like Autogen, PydanticAI, Langchain, TensorFlow, PyTorch, Scikit-learn.
- Work with large language models (LLMs) and cloud deployment.
- Build AI agents using agentic frameworks.
- Fine-tune models for various applications.
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AI/ML Deployment & Optimization:
- Deploy models on cloud platforms such as AWS, Azure, GCP.
- Optimize pipelines for real-time and batch processing.
- Monitor and maintain models’ performance.
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Cloud Integration:
- Integrate AI/ML models with cloud infrastructure.
- Use cloud services like AWS SageMaker, Azure AI, GCP AI Hub.
- Ensure data privacy and security standards.
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Collaboration & Support:
- Partner with AI Architect and cross-functional teams.
- Provide technical support.
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Continuous Learning & Innovation:
- Stay updated on AI advancements.
- Experiment with new tools and frameworks.
- Share best practices.
Skills & Attributes for Success
- Proficiency in AI/ML frameworks.
- Experience with cloud platforms.
- Knowledge of data engineering and big data tools.
- Hands-on with containers (Docker, Kubernetes).
- Understanding of DevOps and MLOps.
- Deep learning models expertise.
- Experience with Generative AI.
- Strong problem-solving, communication, and teamwork skills.
Preferred Qualifications
- Cloud certifications (AWS, Azure).
- 5+ years in AI roles.
- Proven AI solution deployment.
- Background in machine learning and data modeling.
- Agile methodologies familiarity.
Education
- Bachelor’s or master’s in Computer Science, Engineering, or related field.
What We Offer
- Global delivery network with diverse teams.
- Continuous learning environment.
- Leadership development.
- Inclusive culture.
About EY
EY builds a better working world through data, technology, and diversity. Our teams operate across assurance, consulting, law, strategy, tax, and transactions, providing trust and growth solutions worldwide.
Job Highlights:
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