AI Engineer Python, SQL & Data Pipelines

Acunor Infotech
Dallas, TX, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow Data Validation Information Engineering Extract Transform Load (ETL) Data Mining DevOps Apache Hadoop Hadoop Distributed File System Apache Hive Python (Programming Language) Machine Learning
+14 more
Performance Tuning Cloudera Software Deployment SQL Databases Workflow Management Systems Enterprise Data Management Data Processing Freeform SQL Sql Optimization Snowflake Gitlab Git Data Pipelines Control M

Job description

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., * 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

Requirements

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

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