AI Engineer Python, SQL & Data Pipelines

Acunor Infotech
Dallas, United States of America
29 days ago

Role details

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

Job location

Dallas, United States of America

Tech stack

Artificial Intelligence
Airflow
Data Validation
Information Engineering
ETL
Data Mining
DevOps
Hadoop
Hadoop Distributed File System
Hive
Python
Machine Learning
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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