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AI Engineer

Job in Orlando, Orange County, Florida, 32885, USA
Listing for: TechDigital Group
Full Time position
Listed on 2025-11-25
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Responsibilities:

  • Conduct advanced data analysis using Snowflake for business intelligence, ML model development, and enhancement of automation workflows with generative AI.
  • Design, train, and evaluate AI models using Azure AIML services, focusing on use cases such as text summarization, anomaly detection, and predictive analytics.
  • Develop and enhance OCR and document intelligence models utilizing Azure Document Intelligence, specifically for critical processes such as License Audit and Product Approval.
  • Perform rigorous prompt engineering to optimize outputs for the range of generative models in use.
  • Execute predictive analytics leveraging Google Cloud AI services, orchestrating workflows using GKE Scheduler and Pub Sub.
  • Communicate findings effectively using data visualization tools (e.g. Power

    BI, Tableau) and contribute to the incorporation of data-driven insights into business processes.
  • Collaborate closely with product and engineering teams to integrate RAG patterns into core workflows and tools.
  • Skills:

  • Mastery of Snowflake for advanced data analytics, statistical modeling, and ML pipelines.
  • Deep understanding and practical experience with Azure AIML services and Google Cloud AIML platforms.
  • Advanced knowledge of OCR and document intelligence, with significant experience with Azure Document Intelligence and similar tools.
  • Expertise in cloud-based orchestration with GKE Scheduler, Google Pub/Sub, and other similar services.
  • Proficiency in statistical analysis, advanced ML model building, and data visualization with relevant tools.
  • Strong capabilities in prompt engineering for LLMs and other generative AI models.
  • Experience in working with and building RAG pipelines.
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