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ML Ops Engineer (REMOTE :: W2 ONLY)

VAAM TechnologiesTX🇺🇸United StatesPosted Oct 14, 2026

Why This Role Stands Out

This remote ML Ops Engineer role at VAAM Technologies offers a fantastic opportunity to drive innovation in machine learning operations and gain exposure to cutting-edge Azure cloud technologies. If you have a strong background in Python, ML frameworks, and MLOps, you'll thrive in this dynamic environment, contributing to impactful projects and advancing your skills. Apply today to join a forward-thinking team!

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
TX, United States
Posted
18 hours ago
DockerScalaMLOpsMLflowMachine LearningNLPScikit-learnAzureComplianceJavaKubernetesPyTorchPythonTensorFlow

Job Description

  • osition Summary
  • Our client is seeking a passionate Azure AI/MLOps Engineer to build data platforms and pipelines that enable advanced analytics. This role focuses on operationalizing machine learning models and integrating them into production systems to improve outcomes and efficiency.
  • Key Responsibilities
  • Design, build, and deploy AI/ML applications using Azure technologies (Azure ML, Cognitive Services, Bot Services)
  • Develop and manage machine learning pipelines and workflows
  • Automate deployment, monitoring, and updates of ML models
  • Collaborate with data scientists and engineers to operationalize models
  • Implement NLP, recommendation systems, image recognition, and chatbot solutions
  • Build CI/CD pipelines for ML (data, code, models)
  • Ensure performance, scalability, security, and compliance of ML systems
  • Required Qualifications
  • Bachelor's degree in Information Systems or related field
  • 3 6 years of experience in ML projects (with 18+ months in MLOps)
  • Strong programming skills (Python, Java, or Scala)
  • Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Experience with Azure cloud platform
  • Familiarity with Docker and Kubernetes
  • Experience with ML deployment tools (MLflow, Kubeflow)

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