At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.

The exceptional EY experience. It's yours to build.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

The selected candidate:

• Collaborates with senior data scientists to build, fine-tune, and evaluate generative AI models, including large language models (LLMs), for various applications.

• Implements data pipelines and workflows to gather, clean, and prepare data from diverse sources for analysis and model training.

• Works on developing and deploying machine learning algorithms, ensuring models are optimized for performance and scalability

• Assists in translating complex technical findings into actionable insights and recommendations for non-technical stakeholders, contributing to impactful business decisions

Your key responsibilities include:

• Implementing AI solutions that integrate seamlessly with existing business systems to enhance functionality and user interaction.

• Reviewing complex data sets to establish data quality and highlighting where data cleansing is required to remediate the data

• Designing and implementing data models to manage data within the organization,

• Migrating data from one system to another using multiple sources, identifying and

• implementing storage requirements

• Analyzing the latest trends such as cloud computing and distributed processing, and their uses in business, building industry knowledge

• Peer reviewing models and working with relevant business areas to seek their input and ensuring they are fit for the designed purpose

• Automating important infrastructure for the data science team.

• Staying current with AI trends and suggesting improvements to existing systems and workflows.

Skills and attributes for success

• 5+ years’ experience in machine learning, large scale data acquisition, transformation, and cleaning, both structured and unstructured data

• Experience with generative LLM fine-tuning and prompt engineering.

• Good knowledge with cloud ecosystems, Azure is preferred

• Strong programming skills in Python and developing APIs

• Knowledge of containerization platforms like Docker is a must.

• Experience with Git and modern software development workflow.

• Experience with tools in the distributed computing, GPU, cloud platforms, and Big Data domains (e.g., GCP, AWS, MS Azure, Hadoop, Spark, Databricks) is a plus

• Experience in ML/NLP algorithms, including supervised and unsupervised learning.

• Experience with SQL, Document DBs and Vector DBs

• Batch Processing - Capability to design an efficient way of processing high volumes of

• data where a group of transactions is collected over a period Data

• Visualization and storytelling - Capability to assimilate and present data, as well as more advanced visualization techniques.

Education

• Bachelor in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences or related fields preferred

What we look for

• Strong analytical skills and problem-solving ability

• A self-starter, independent-thinker, curious and creative person with ambition and passion

• Excellent inter-personal, communication, collaboration, and presentation skills

• Customer focused

• Excellent time management skills

• Positive and constructive minded

• Takes responsibility for continuous self-learning

• Takes the lead and makes decisions in critical times and tough circumstances

• Attention to detail

• High levels of integrity and honesty

What we offer

The compensation ranges below are provided in order to comply with United States pay transparency laws. Other geographies will follow their local salary guidelines, which may not be a direct conversion of published US salary ranges.

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $75,500 to $137,000. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $90,600 to $155,700. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. 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.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.

• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.

• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com