Job description

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The selected candidate • Leads the design, development, and deployment of advanced generative AI models, including large language models (LLMs), driving innovation and solving complex business challenges • Oversees the end-to-end data science lifecycle, from data acquisition and preprocessing to model validation and optimization, ensuring best practices and high-quality outcomes • Works on developing and deploying machine learning algorithms, ensuring models are optimized for performance and scalability • Mentors and guides junior data scientists, fostering a collaborative environment and promoting knowledge sharing of cutting-edge techniques and tools • Partners with cross-functional teams to integrate AI-driven insights into products and services, translating sophisticated models into practical, scalable solutions that drive measurable impact 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 • 8+ 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. • Proficiency with data wrangling, visualization, and modeling in Python • Experience in ML/NLP algorithms, including supervised and unsupervised learning. • Good knowledge with cloud ecosystems, Azure is preferred • Experience in machine learning frameworks and tools (e.g., sci-kit-learn, Keras, TensorFlow, MXNet, PyTorch, MLlib) • Strong programming skills in Python • 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 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. Capability to engage and explain data creating a narrative around data visualization • Knowledge of containerization platforms like Docker is a plus. • Experience with Git and modern software development workflow. • Non-Technical Skills: • Strong team and business communication skills – can walk through and approach with technical clients or explain tricky concepts to non-technical people • Must thrive in a fast-paced environment and be able to work independently. • Excellent in communication skills • Education • Bachelor/Master/PG 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 you 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. At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . • 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 $92,600 to $173,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $111,100 to $196,800. 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. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, 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 .

Requirements

Must-haves

At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
The selected candidate
Leads the design, development, and deployment of advanced generative AI models, including large language models (LLMs), driving innovation and solving complex business challenges
Oversees the end-to-end data science lifecycle, from data acquisition and preprocessing to model validation and optimization, ensuring best practices and high-quality outcomes
Works on developing and deploying machine learning algorithms, ensuring models are optimized for performance and scalability
Mentors and guides junior data scientists, fostering a collaborative environment and promoting knowledge sharing of cutting-edge techniques and tools
Partners with cross-functional teams to integrate AI-driven insights into products and services, translating sophisticated models into practical, scalable solutions that drive measurable impact
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
8+ 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.

Nice-to-haves

Good knowledge with cloud ecosystems, Azure is preferred
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
Knowledge of containerization platforms like Docker is a plus.
Bachelor/Master/PG in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences or related fields preferred

Application prep

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Keywords to mirror

goaimachine learningllmpythonmlazuregcpawssqldocker

Platform: successfactors
Effort: medium

Benefits

Benefits detected in the listing.

Dental

401(K)

Paid Time Off