GCP ML/AI Engineer: Build & Run Generative AI

DataArt; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

DataArt in the United States is seeking an experienced engineer to build and operate generative AI and ML products in production, blending ML engineering with backend services, cloud infrastructure, and platform operations.

You will collaborate with domain and platform teams to deliver AI capabilities, support adoption, and improve the reliability and operability of deployed systems while maintaining engineering standards across pipelines and deployments.

Qualifications

• Experience with Python for ML/AI backend services.
• Strong backend engineering and API development.
• Knowledge of CI/CD and software practises.
• Familiarity with observability and production operations.
• Experience with MLOps tools and deployment pipelines.

Responsibilities

• Build and operate generative AI and ML products in production.
• Collaborate with domain and platform teams to deliver AI capabilities.
• Develop and maintain scalable AI models and APIs.
• Manage infra for AI products including observability and reliability.
• Contribute to CI/CD pipelines and infrastructure as code.
• Work with DevOps and data engineering teams to uphold standards.

Skills

Python programming

Backend engineering

CI/CD concepts

Observability & monitoring

MLOps familiarity

Tools

Terraform

Docker

Airflow

MLflow

APIs development

Job description

DataArt in the United States is seeking an experienced engineer to build and operate generative AI and ML products in production, blending ML engineering with backend services, cloud infrastructure, and platform operations.

You will collaborate with domain and platform teams to deliver AI capabilities, support adoption, and improve the reliability and operability of deployed systems while maintaining engineering standards across pipelines and deployments.