AI Engineer

Jobtailor

Alpharetta (GA)

On-site

USD 120,000 - 170,000

Full time

3 days ago

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Job summary

Jobtailor in Alpharetta, GA is seeking an experienced MLOps Engineer to manage the ML lifecycle and automate data workflows. The role requires strong Python skills for data processing, SQL querying, and hands-on GCP experience, including Cloud Composer for Airflow-based orchestration.

You will design and implement end-to-end ML pipelines, monitor pipelines, and contribute to CI/CD for ML models using Docker and Kubernetes in a cloud-native stack.

Qualifications

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.

Responsibilities

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

Skills

MLOps Practices

Python Programming

SQL Database Querying

Tools

Google Cloud Platform (GCP)

Cloud Composer

Apache Airflow

Dataform

Docker

Kubernetes

Job description

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

Requirements

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)

Core Competencies

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.

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