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Financial institutions are looking to build smarter and more efficient ways to operate their business, through new opportunities uncovered by their data. EY is looking to solve complex problems and deliver client deliverables in the AI and data space.

Requirements

• Minimum of 1 years of related work experience in AI/ML engineering or MLE/ML Ops
• Proficiency in Python programming and associated machine learning libraries/packages (sklearn, TensorFlow, PyTorch, etc.)
• Experience in applications of Neural Network architectures to Natural Language Processing, Computer Vision, and Machine Intelligence
• Knowledge of cloud-based AI services and machine learning platforms such as AWS SageMaker, Google AI Platform, or Azure Machine Learning
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes) for deploying and managing AI applications in the cloud
• 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

Responsibilities

• Designing, building, and maintaining production-grade ML and DL models, machine learning workflows, and pipelines
• Helping clients make data-driven decisions by working with structured and unstructured data sets and building out predictive models
• Applying advanced analytical and statistical methods, including machine learning and data structure design
• Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, etc.) as appropriate
• Designing and developing solutions leveraging big data technology (Hadoop, Spark, etc.) to ingest, process, and analyze large, disparate data sets

Other

• A bachelor's or master’s degree in computer science, information systems, or related technology majors
• Great communication and influencing skills
• Demonstrating in-depth technical capabilities, professional knowledge, and interest in the financial industry and technology
• A willingness and ability to travel at 0%-25%
• Valid driver’s license in the US
• Valid passport
• Understanding of the ethical implications of generative AI and commitment to responsible AI practices