Skills and attributes for success Collaborating, mentoring, and coaching teams with diverse skills and backgrounds Fostering an innovative and inclusive team-oriented work environment Being accountable for the success of your team and the projects components Building strong relationships with your internal clients Great communication and influencing skills Demonstrating in-depth technical capabilities, professional knowledge, and interest in the financial industry and technology Leading and managing multi-disciplinary teams through a product life cycle - requirements, design, development, and testing 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 Designing and developing solutions leveraging big data technology (Hadoop, Spark, etc.) to ingest, process, and analyze large, disparate data sets To qualify for the role you must have A bachelors or masters degree in computer science, information systems, or related technology majors Minimum of 5 years of related work experience in AI/ML engineering or MLE/ML Ops Experience working with business, management, and technology concepts Proficiency in Python programming and associated machine learning libraries/packages (sklearn, TensorFlow, PyTorch, etc.) Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) for deploying and managing ML and AI solutions Strong deep learning experience, particularly in applications of Neural Network architectures to Natural Language Processing, Computer Vision, and Machine Intelligence Knowledge of MLOps practices for continuous integration and continuous deployment (CI/CD) of machine learning models in a cloud environment Good written and verbal communication skills A willingness and ability to travel at 0%-25% Valid drivers license in the US Valid passport Ideally, youll also have 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 Practical experience in developing and deploying Generative AI applications for various use cases such as text generation, image synthesis, and creative AI Familiarity with cloud-based machine learning services like AWS SageMaker, Google AI Platform, or Azure Machine Learning What we look for Were interested in professionals that are passionate about technology, who already have an understanding of data and are comfortable analyzing or manipulating it while generating reports for clients. Plus, we offer: Opportunities to develop new skills and progress your career Support and coaching from some of the most engaging and knowledgeable colleagues A collaborative environment where everyone works together to create a better working world * Excellent training and development prospects About EY As a global leader in assurance, tax, transaction, and advisory services, we hire and develop the most passionate people in their field to help build a better working world.