AI Engineer – Python, SQL & Data Pipelines

Acunor Inc

Dallas, TX

JOB DETAILS
SALARY
$140–$160
SKILLS
Analysis Skills, Apache, Apache Hadoop, Apache Hive, Artificial Intelligence (AI), Automation, Cloudera, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Database Extract Transform and Load (ETL), DevOps, Enterprise Data Integration, Git, HDFS (Hadoop Distributed File System), Identify Issues, Performance Analysis, Performance Tuning/Optimization, Problem Solving Skills, Production Support, Production Systems, Python Programming/Scripting Language, Query Analysis, Query Optimization, SQL (Structured Query Language), Scalable System Development, Software Engineering
LOCATION
Dallas, TX
POSTED
4 days ago

Location: Dallas, TX or San Antonio, TX
Type: Full-Time

Job Summary

We are seeking a hands-on AI Engineer with strong expertise in Python, SQL, AI/ML model deployment, and enterprise data pipeline development. This role focuses on building and operationalizing AI solutions in production environments, including model scoring, ETL workflows, monitoring, scheduling, automation, and integration with enterprise data platforms.

Must-Have Skills
  • Strong hands-on experience with Python for AI/ML development and deployment
  • Advanced SQL skills for data extraction, transformation, validation, and optimization
  • Experience building and maintaining ETL/ELT data pipelines
  • Experience with AI/ML model deployment and production support
  • Hands-on experience with Apache Airflow or similar orchestration tools
  • Experience with Snowflake
  • Strong knowledge of Cloudera, Hadoop, HDFS, and Hive
  • Experience with Git/GitLab and CI/CD pipelines
  • Understanding of data validation, monitoring, and workflow automation
  • Strong analytical, troubleshooting, and problem-solving skills
Key Responsibilities
  • Develop, deploy, and maintain AI/ML models using Python
  • Build scalable data pipelines for ETL, model scoring, monitoring, and automation
  • Write and optimize complex SQL queries for analytics and data processing
  • Integrate AI models and data workflows into enterprise platforms
  • Manage workflow orchestration using Airflow, Domino, or Control-M
  • Support production deployments, performance tuning, and monitoring
  • Collaborate with Data Science, Data Engineering, DevOps, and business teams

About the Company

A

Acunor Inc