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Requisition Id: 1673163
Build and maintain productiongrade AWS applications (Lambda, S3, Glue, ECS/EKS, Step Functions, Bedrock, SageMaker). |
Develop and automateendtoend data and ML pipelinesusing Spark/PySpark, Glue, Airflow, or dbt. |
Implement LLMbased solutions:prompt engineering, evaluation, workflow integration. |
Apply GenAI techniques includingRAG, context engineering, finetuning, and agentic frameworks(tool calling, orchestration workflows). |
Support model training, inference, and evaluation with strong grounding intraditional ML methodsandEDA. |
Use engineering best practices:GitHub, CI/CD, InfrastructureasCode (Terraform/CloudFormation), testing, observability. |
Ensure compliance with security and datagovernance standards in a financialservices environment. |
Required Qualifications |
. 5+ yearsin software engineering, data engineering, or ML engineering. |
. Strong AWS experience building production systems (Lambda, Glue, SageMaker, etc.). |
. Expertise inPython,PySpark, andSQL. |
. Proven experience automatingdata pipelinesandML workflows. |
. Familiarity withtraditional ML methods(regression, classification, clustering, treebased models) andEDA. |
. Handson experience with LLM/GenAI: RAG, prompt engineering, agentic frameworks. |
. Strong communication skills and ability to work independently in global teams. |
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
Join us in shaping the future with confidence. Apply Now
Ernst & Young Global Limited, doing business as EY, is a multinational professional services network with headquarters in London, England.EY is one of the largest professional services networks in the world. Along with Deloitte, KPMG and PricewaterhouseCoopers, it is considered one of the Big Four accounting firms. It primarily provides assurance (which includes financial audit), tax, consulting and advisory services to its clients. Like many of the larger accounting firms in recent years, EY has expanded into markets adjacent to accounting, including strategy, operations, HR, technology, and financial services consulting
Job ID: 144590291
