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AI/ML Engineer

QUANTUM TECHNOLOGIES LLCUnited States🇺🇸United StatesPosted 15 Jul 2026

Quick Overview

Salary
€87/hr
Work Type
Remote
Level
Mid Senior

Job Description

Job Title: AI/ML Engineer

Location: Remote

Duration: 5 Months + Extension

Bill Rate: $87/hour on C2c

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description:

  • Design and develop AI/ML and Agentic AI solutions for automation and intelligent decision-making.
  • Build, deploy, and maintain end-to-end machine learning pipelines.
  • Implement AI/ML solutions using Google Cloud Platform services including Vertex AI, BigQuery ML, and Dataflow.
  • Develop agent-based and multi-step AI workflows integrated with enterprise applications.
  • Build scalable batch and real-time data pipelines.
  • Monitor, optimize, and maintain AI models in production environments.
  • Collaborate with architects and engineering teams on AI platform design.
  • Implement MLOps practices including CI/CD, model versioning, governance, and monitoring.
  • Required Skills:
  • 5 10 years of experience in AI/ML, Data Engineering, or Cloud Engineering.
  • Strong programming expertise in Python.
  • Hands-on experience with ML frameworks:
    • TensorFlow
    • PyTorch
    • Scikit-learn
  • Strong experience with Google Cloud AI/ML services:
    • Vertex AI
    • BigQuery ML
    • Dataflow
  • Experience with Generative AI, LLMs, and Agentic AI (multi-step reasoning, orchestration, AI agents).
  • Experience building and deploying ML pipelines in production.
  • Knowledge of Microservices and REST API integration.
  • Hands-on experience with Docker, Kubernetes, and CI/CD.
  • Experience building real-time and batch data pipelines.
  • Strong understanding of MLOps, including model governance, monitoring, and version control.

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.

Skills

Docker
Microservices
MLOps
Machine Learning
Scikit-learn
BigQuery
Google Cloud
Kubernetes
PyTorch
Python
REST
TensorFlow

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