AI Engineer

TechDigital Group; Orlando (FL); On-site; USD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a skilled data analyst to leverage advanced data analysis and AI model development. In this role, you will utilize cutting-edge technologies such as Snowflake and Azure AIML services to drive business intelligence and enhance automation workflows. Your expertise in OCR and document intelligence will be critical for optimizing processes like License Audit and Product Approval. Collaborating with product and engineering teams, you'll integrate generative AI models into key workflows, ensuring data-driven insights are effectively communicated through visualization tools. If you're passionate about AI and data analytics, this role offers a fantastic opportunity to make a significant impact.

Qualifications

• Mastery of Snowflake for advanced data analytics and ML pipelines.
• Deep understanding of Azure AIML and Google Cloud AIML platforms.

Responsibilities

• Conduct advanced data analysis using Snowflake for business intelligence.
• Design and evaluate AI models using Azure AIML services.

Skills

Snowflake

Azure AIML services

Google Cloud AIML platforms

OCR and document intelligence

GKE Scheduler

Google Pub/Sub

Data visualization

Statistical analysis

Prompt engineering

RAG pipelines

Tools

PowerBI

Tableau

Job description

Responsibilities:

1. Conduct advanced data analysis using Snowflake for business intelligence, ML model development, and enhancement of automation workflows with generative AI.
2. Design, train, and evaluate AI models using Azure AIML services, focusing on use cases such as text summarization, anomaly detection, and predictive analytics.
3. Develop and enhance OCR and document intelligence models utilizing Azure Document Intelligence, specifically for critical processes such as License Audit and Product Approval.
4. Perform rigorous prompt engineering to optimize outputs for the range of generative models in use.
5. Execute predictive analytics leveraging Google Cloud AI services, orchestrating workflows using GKE Scheduler and PubSub.
6. Communicate findings effectively using data visualization tools (e.g. PowerBI, Tableau) and contribute to the incorporation of data-driven insights into business processes.
7. Collaborate closely with product and engineering teams to integrate RAG patterns into core workflows and tools.

Skills:

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