AI Engineer

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

Job Description

Job Overview

Job ID: J54507

Job Title: AI Engineer

Location: Weehawken, NJ

Duration: 12 Months + Extension

Domain Exposure: Aerospace/ Airlines

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Bill Rate: $84/hour (C2C)

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

• Developing and deploying scalable, production-grade AI applications on Google Cloud Platform (GCP), utilizing services such as Cloud Run, Cloud Scheduler, and Secrets Manager to ensure robust, secure, and high-performance deployments
• Building and maintaining backend services and APIs using Python and modern frameworks including FastAPI and Flask, ensuring seamless integration between AI components, cloud infrastructure, and client systems
• Collaborating closely with cross-functional teams including data scientists, architects, and program managers to translate complex AI requirements into elegant, scalable technical solutions within an AI Ops delivery framework
• Continuously evaluating and adopting emerging GCP AI/ML services and Agentic AI capabilities, contributing to internal knowledge sharing, best practices, and the evolution of Capgemini's AI Ops delivery standards

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.