Work with a nationally ranked CPA and advisory firm that is passionate for what's next.
Requirements
Proven experience in AI architecture, design, and deployment with Microsoft Azure Cloud Technologies, or similar industry best technologies (Azure ML, Cognitive Services, Azure Data Factory, Azure Kubernetes Service, etc.).
Proficiency in programming languages such as C#, Python, R, or JavaScript.
Strong understanding of machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn).
Familiarity with Microsoft Power Platform (Power BI, Power Apps, Power Automate) and integrating AI models with these tools.
Experience with DevOps tools and practices including CI/CD, containerization (Docker, Kubernetes), and automated testing.
Knowledge of data architecture, databases, and data lakes (SQL, NoSQL, Azure Synapse, etc.).
Knowledge and experience with vector databases or knowledge bases for retrieval-augmented generation.
Knowledge and experience of prompt engineering and fine-tuning large models.
Bachelor’s degree in Computer Science, MIS, or similar.
Prior AI experience is a major plus.
Experience with Automation tools such as UiPath or Blue Prism.
Previous experience in the Accounting Technology Industry.
Certifications in Microsoft Azure (e.g., Azure AI Engineer Associate).
Experience with generative AI frameworks such as LangChain or Semantic Kernel