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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