Service Delivery Center, AI & Data - Analyst
EY is a global leader in assurance, tax, transaction, and advisory services, dedicated to building a better working world. The Analyst role in the Service Delivery Center focuses on delivering AI and data services to financial institutions, solving complex problems, and fostering a collaborative team environment.
Responsibilities
- Collaborating with diverse skills and backgrounds
- Fostering an innovative and inclusive team-oriented work environment
- Being accountable for the success of your team and the project’s 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
- 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
Skills
- A bachelor's or master's degree in computer science, information systems, or related technology majors
- 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
- 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
- A range of programs and benefits designed to support your physical, financial, and social well-being
- 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
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances.
- You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Company Overview
Company H1B Sponsorship