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AI Engineer
Job in
Alpharetta, Fulton County, Georgia, 30239, USA
Listed on 2026-09-05
Listing for:
Jobtailor
Full Time
position Listed on 2026-09-05
Job specializations:
-
IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
- Apply MLOps practices and manage the machine learning lifecycle
- Perform data processing, automation, and ML workflows using Python
- Query and work with databases using SQL
- Use Google Cloud Platform (GCP) and Cloud Composer for workflow orchestration
- Schedule and manage data and ML pipelines with Apache Airflow
- Perform data transformation and analytics engineering with Dataform
- Automate, monitor, and orchestrate workflows and pipelines
- Support CI/CD pipelines and ML model deployment
- Work with containerization technologies such as Docker and Kubernetes
- Strong experience in MLOps practices and machine learning lifecycle management
- Proficiency in Python for data processing, automation, and ML workflows
- Strong knowledge of SQL and database querying
- Hands-on experience with Google Cloud Platform (GCP)
- Experience with Cloud Composer (Apache Airflow on GCP) for workflow orchestration
- Expertise in Apache Airflow for scheduling and managing data and ML pipelines
- Experience with Dataform for data transformation and analytics engineering
- Understanding of workflow orchestration, pipeline automation, and monitoring
- Experience with CI/CD pipelines and ML model deployment (preferred)
- Knowledge of containerization technologies such as Docker and Kubernetes (preferred)
Demonstrates expertise in MLOps practices and machine learning lifecycle management, with strong proficiency in Python, SQL, and Google Cloud Platform (GCP). Capable of automating workflows, managing data pipelines, and deploying ML models using tools like Apache Airflow, Dataform, Docker, and Kubernetes.
Highest-signal resume keywords- MLOps Practices
- Python Programming
- SQL Database Querying
- Google Cloud Platform (GCP)
- Apache Airflow
- MLOps Practices
- Python Programming
- SQL Database Querying
- Data Transformation
- Analytics Engineering
- Machine Learning Lifecycle
- Workflow Orchestration
- Pipeline Automation
- CI/CD Pipelines
- ML Model Deployment
- Google Cloud Platform (GCP)
- Cloud Composer
- Apache Airflow
- Dataform
- Docker
- Kubernetes
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