AI Engineer — Scalable ML Ops on GCP

MACHINE LEARNING TECHNOLOGIES LLC; Weehawken (NJ); On-site; USD 95,000 - 136,000; Full time

Job summary

Machine Learning Technologies LLC is seeking an AI Engineer to develop and deploy production-grade AI applications on Google Cloud Platform (GCP), leveraging Cloud Run, Cloud Scheduler, and Secrets Manager for robust deployments.

You will build backend services and APIs with Python (FastAPI/Flask), ensuring seamless integration between AI components and client systems, while collaborating with data scientists, architects, and PMs to translate requirements into scalable solutions.

Qualifications

• Develop scalable, production-grade AI applications on Google Cloud Platform (GCP).
• Build backend services and APIs using Python with FastAPI/Flask.
• Collaborate with data scientists, architects, and PMs to translate AI requirements into scalable solutions.

Responsibilities

• Develop and deploy scalable AI applications on GCP.
• Build backend services and APIs using Python (FastAPI/Flask).
• Ensure seamless integration between AI components and cloud infra.
• Collaborate with cross-functional teams to evolve Capgemini's AI Ops standards.

Skills

GCP

Python

API development

AI/ML

Job description

Machine Learning Technologies LLC is seeking an AI Engineer to develop and deploy production-grade AI applications on Google Cloud Platform (GCP), leveraging Cloud Run, Cloud Scheduler, and Secrets Manager for robust deployments.

You will build backend services and APIs with Python (FastAPI/Flask), ensuring seamless integration between AI components and client systems, while collaborating with data scientists, architects, and PMs to translate requirements into scalable solutions.