EY · 3 hours ago
Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Senior
EY is a global leader in assurance, tax, transaction, and advisory services, seeking a Senior Machine Learning Engineer to join their AI & Data team. The role involves architecting and deploying production-grade AI systems to transform financial services, utilizing cutting-edge technologies to process transactions and make intelligent decisions.
AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services
Responsibilities
Design and implement multi-agent architectures using LangChain, AutoGen, or CrewAI for complex financial workflows
Deploy production-ready LLMs fine-tuned for financial domain expertise (loan underwriting, risk assessment, regulatory compliance)
Create RAG (Retrieval-Augmented Generation) systems that connect AI agents to enterprise knowledge bases and real-time market data
Implement agentic reasoning systems capable of autonomous decision-making within regulatory boundaries
Deploy AI agents serving millions of customers with sub-second latency requirements
Build robust MLOps pipelines for continuous model improvement and A/B testing
Implement comprehensive monitoring and observability for autonomous systems
Optimize inference costs while maintaining performance SLAs
Prototype breakthrough applications: AI-powered trading assistants, autonomous compliance monitors, intelligent fraud detection agents
Collaborate with financial domain experts to translate complex regulations into AI agent behaviors
Contribute to EY’s AI research initiatives and patent applications
Present solutions to C-suite executives at major financial institutions
Qualification
Required
3-5 years of Python programming with production deployment experience
Hands-on experience with LLMs: GPT-4, Claude, Llama, or similar foundation models
Agentic AI frameworks: LangChain, AutoGen, CrewAI, or similar multi-agent orchestration tools
Vector databases: Pinecone, Weaviate, or Chroma for semantic search at scale
Cloud platforms: AWS SageMaker, Azure OpenAI Service, or Google Vertex AI
MLOps practices: Model versioning, A/B testing, drift detection, and continuous deployment
Preferred
Experience with financial services applications (trading, risk, compliance, or banking)
Knowledge of prompt engineering and in-context learning optimization
Familiarity with model fine-tuning techniques (LoRA, QLoRA, PEFT)
Understanding of AI safety practices and responsible AI frameworks
Experience with real-time streaming architectures (Kafka, Flink)
Contributions to open-source AI projects
Good written and verbal communication skills
A willingness and ability to travel at 0%-25%
Valid driver's license in the US
Valid passport
Certification in any database management system, reporting or data visualization, or programming/statistical language
Working knowledge or certifications in cloud technologies such as Snowflake, Databricks, AWS, or Azure
Experience with generative AI models and techniques, including GANs and Transformers
Understanding of the ethical implications of generative AI and commitment to responsible AI practices
Benefits
Medical and dental coverage
Pension and 401(k) plans
A minimum of 15 days of vacation plus ten observed holidays and three paid personal days
Wide range of paid time off options
Flexible vacation policy
Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence
Company
EY
EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.
H1B Sponsorship
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Funding
Current Stage
Late StageRecent News
2025-12-24
2025-12-15
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