CT_NITRO Experimental AI Engineer
Ernst and Young6 days ago
Base Salary
$93k - $197k/yr
Responsibilities
- Lead the design, development, and deployment of advanced generative AI models, including large language models.
- Oversee the data science lifecycle from data acquisition and preprocessing through model validation and optimization.
- Develop and deploy scalable machine learning and NLP algorithms using supervised and unsupervised learning.
- Implement AI solutions that integrate with existing business systems and enhance functionality and user interaction.
- Review data quality, identify cleansing needs, design data models, and migrate data across systems.
- Analyze cloud computing and distributed processing trends and apply them to business solutions.
- Peer review models and collaborate with business stakeholders to validate their intended use.
- Automate infrastructure supporting the data science team.
- Mentor junior data scientists and promote knowledge sharing.
- Stay current with AI trends and recommend improvements to systems and workflows.
Requirements
- At least 8 years of experience in machine learning, large-scale data acquisition, transformation, and cleaning for structured and unstructured data.
- Experience with generative LLM fine-tuning and prompt engineering.
- Strong Python programming skills and proficiency in data wrangling, visualization, and modeling.
- Experience with machine learning and NLP algorithms, including supervised and unsupervised learning.
- Good knowledge of cloud ecosystems, with Azure 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 tools such as GCP, AWS, Microsoft Azure, Hadoop, Spark, and Databricks is a plus.
- Experience with SQL, document databases, and vector databases.
- Ability to design efficient batch processing for high volumes of data.
- Capability to present and explain data through visualization and storytelling.
- Knowledge of containerization platforms such as Docker is a plus.
- Experience with Git and modern software development workflows.
- Bachelor's, master's, or postgraduate education in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences, or a related field is preferred.
- Strong analytical, problem-solving, communication, collaboration, presentation, customer-focus, time-management, and independent-working skills.
Benefits
- Base salary range is $92,600 to $173,100 across U.S. geographic locations, with a range of $111,100 to $196,800 for New York City Metro Area, Washington State, and California excluding Sacramento.
- Medical and dental coverage, pension, and 401(k) plans are provided.
- Paid time off includes flexible vacation, EY paid holidays, winter and summer breaks, personal and family care leave, and other leaves of absence.
- Flexible hybrid work model with most external client-serving roles expected to work in person 40–60% of the time during an engagement, project, or year.
- The role is offered in a diverse, inclusive, globally connected environment with professional development and future-focused skills training.
Tech Stack
Apache HadoopApache SparkAWSAzureDatabricksDockerGitGoogle Cloud PlatformKerasPythonPyTorchscikit-learnSQLTensorFlow
Categories
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.