Job Description
Work with a nationally ranked CPA and advisory firm that is passionate for what's next.
Requirements
- Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related quantitative field.
- Early-career profile: typically, up to three years of applied AI, data management, or machine learning experience. Strong internship, research, or academic project work is welcome in place of full-time experience.
- Hands-on experience building AI or machine learning solutions, including work with large language models, natural language processing (NLP), or agentic AI approaches.
- Strong programming skills in Python, with experience using modern AI development tools.
- Ability to move between technical detail and business value, and to communicate clearly with non-technical stakeholders.
- Strong analytical and problem-solving skills, with a structured, well-tested approach to AI work.
- Experience with agentic or autonomous agent design and AI-assisted development workflows.
- Exposure to taking AI or machine learning solutions beyond a notebook toward deployment, for example through a major cloud platform, containerization, or basic monitoring, gained via internships, research, or coursework.
- Exposure to responsible AI practices such as model evaluation, explainability, and fairness or drift checks.
- Familiarity with business intelligence tools (for example, Power BI or Tableau) and modern data platforms (for example, Snowflake, Databricks, or Spark).
- Exposure to client business systems and ERPs (NetSuite, QBO/IES, Acumatica, or Sage) is a plus.
- Interest in client-facing advisory work and a helpful, customer-oriented approach.
Ready to Apply?
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