Experimental AI Engineer

EY; Alpharetta (GA); Ibrido; USD 93.000 - 173.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical and dental coverage

Pension and 401(k)

Hybrid work model

Paid time off

Descrizione del lavoro

EY is seeking an Experimental AI Engineer in Alpharetta, GA, to design and deploy advanced generative AI capabilities, including LLMs. The role is hybrid, offering collaboration with cross-functional teams and mentorship of junior data scientists.

You will lead end-to-end ML workflows, apply modern NLP techniques, and continuously improve data pipelines for scalable AI solutions. The position emphasizes hands-on model development and business-aligned outcomes.

Competenze

• 8+ years of ML and large-scale data handling experience.

Mansioni

• Lead design, development, and deployment of generative AI models including LLMs.
• Own end-to-end data science lifecycle from data acquisition to validation.
• Develop ML algorithms focusing on performance and scalability.
• Oversee data quality and cleansing needs.
• Mentor junior data scientists and share cutting-edge techniques.
• Collaborate with cross-functional teams to integrate AI insights into products.
• Stay current with AI trends and improve existing systems.

Conoscenze

Python

LLMs

Prompt engineering

Data science lifecycle

Distributed computing

SQL

Git

Communication

Independent work

Problem solving

Formazione

AI/Data Science related degree

Strumenti

scikit-learn

Keras

TensorFlow

MXNet

PyTorch

MLlib

Docker

Databricks

Git

Descrizione del lavoro

EY is hiring an Experimental AI Engineer in Alpharetta, GA (hybrid) to design and deploy advanced generative AI capabilities, including LLMs.

Responsibilities

• Lead the design, development, and deployment of advanced generative AI models, including large language models (LLMs), to address complex business challenges
• Own the end-to-end data science lifecycle, from data acquisition and preprocessing through model validation and optimization
• Develop and deploy machine learning algorithms, focusing on performance and scalability
• Oversee data quality by reviewing complex datasets and identifying where data cleansing is required
• Design and implement data models to manage organizational data
• Migrate data across systems using multiple sources, including requirements identification for storage
• Build AI solutions that integrate with existing business systems to improve functionality and user interaction
• Automate critical data science infrastructure to improve delivery efficiency
• Peer review models and collaborate with relevant business areas to ensure solutions fit intended purposes
• Partner with cross-functional teams to integrate AI-driven insights into products and services
• Mentor and guide junior data scientists, promoting knowledge sharing of cutting-edge techniques and tools
• Stay current with AI trends (including cloud computing and distributed processing) and recommend improvements to existing systems and workflows

Requirements

• 8+ years of experience in machine learning and large-scale data acquisition, transformation, and cleaning for both structured and unstructured data
• Experience with generative LLM fine-tuning and prompt engineering
• Strong proficiency in Python for data wrangling, visualization, and modeling
• Experience with ML/NLP algorithms, including supervised and unsupervised learning
• Knowledge of cloud ecosystems; Azure is preferred
• Experience with machine learning frameworks and tools such as scikit-learn, Keras, TensorFlow, MXNet, PyTorch, and MLlib
• Experience with distributed computing, GPU, cloud platforms, and Big Data is a plus (e.g., GCP, AWS, MS Azure, Hadoop, Spark, Databricks)
• Experience with SQL, Document DBs, and Vector DBs
• Ability to design batch processing for high-volume data where transactions are collected over a period
• Visualization and storytelling capability, including advanced visualization techniques and communicating data narratives
• Docker is a plus
• Experience with Git and modern software development workflow
• Strong team and business communication skills, including explaining technical concepts to non-technical audiences
• Ability to work independently in a fast-paced environment
• Strong analytical and problem-solving skills
• Self-starter mindset with curiosity and creativity; takes responsibility for continuous self-learning
• Can lead and make decisions during critical times and tough circumstances
• High integrity, strong attention to detail, and excellent collaboration and presentation skills
• Customer focus and excellent time management
• Bachelor/Master/PG preferred in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences, or related fields

Technologies

• Python
• Azure
• scikit-learn, Keras, TensorFlow, MXNet, PyTorch, MLlib
• GCP, AWS, MS Azure
• Hadoop, Spark, Databricks
• SQL
• Document DBs, Vector DBs
• Docker
• Git
• LLMs, prompt engineering

Benefits

• Comprehensive compensation and benefits package, with rewards based on performance
• Base salary range (US): $92,600 to $173,100
• Base salary range (NYC Metro, Washington State, California excluding Sacramento): $111,100 to $196,800
• Total Rewards package includes medical and dental coverage
• Pension and 401(k) plans
• Wide range of paid time off options
• Team-led and leader-enabled hybrid model (most external, client-serving roles work in person 40-60% over the course of an engagement)
• Flexible vacation policy (decide how much vacation time is needed)
• Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence

Location: Alpharetta

Requisition ID: 1753484

Date: Oct 16, 2026

Salary: Competitive