AI Engineer - AI-ML Data Engineer – Advanced Analytics, Hybrid - 69682

PRIMUS Global Services; Austin (TX); Hybrid; USD 120,000 - 160,000; Full time

Job summary

PRIMUS Global Services in Austin, TX, seeks an AI Engineer with deep AI/ML, advanced analytics, and data engineering skills to design, develop, deploy, and support scalable AI-driven data solutions.

Hybrid role based in Austin, requiring experience with Snowflake, ETL/data pipelines, Python, AI/ML models and agents, Streamlit, React, Tableau, and data science pipelines to deliver automated insights and optimized data workflows.

Qualifications

• Experience designing Snowflake data structures.
• Developing Python-based applications.
• Deploying and monitoring AI/ML models and agents.
• Creating Tableau reports and data visualizations.
• Identifying automation opportunities in data processes.
• Delivering data science and optimization solutions.

Responsibilities

• Design, develop, deploy, and support scalable AI-driven data solutions.
• Build Snowflake data structures for analytics.
• Develop Python-based applications for AI/ML workloads.
• Deploy and monitor AI/ML models and agents.
• Create Tableau reports and dashboards.
• Identify automation opportunities in data pipelines.

Skills

AI/ML

Advanced Analytics

Data Engineering

Python

Tools

Snowflake

ETL / Data Pipelines

Streamlit

React

Tableau

Job description

AI Engineer - AI-ML Data Engineer Advanced Analytics, Hybrid

We have an immediate need for an experienced AI Engineer with strong expertise in AI/ML, Advanced Analytics, Python, Snowflake, and modern Data Engineering practices to design, develop, deploy, and support scalable AI-driven data solutions.

This is a hybrid position based in Austin, TX, for a candidate with deep experience in Snowflake, ETL/Data Pipelines, Python, AI/ML, Advanced Analytics, Machine Learning Models, AI Agents, Streamlit, React, Tableau, and Data Science Pipelines. The ideal candidate will have a proven track record of designing Snowflake data structures, developing Python-based applications, deploying and monitoring AI/ML models and agents, creating Tableau reports, identifying process automation opportunities, and delivering data science and optimization solutions.