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Dev Tech Ops Engineer - AI & ML

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: Delta Cognition
Contract, Remote/Work from Home position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Cloud Computing, AI Engineer, Machine Learning/ ML Engineer, Data Engineer
Job Description & How to Apply Below
Location: New York

Ho Chi Minh City, Hyderabad, Melbourne 2-3 years 6 months contract Competitive Fully Remote

Overview

Join our team to build and maintain the infrastructure that powers our AI/ML solutions. We're looking for a Dev Tech Ops Engineer to ensure our ML pipelines, deployments, and systems run reliably at scale.

What We Are Looking For
  • • 2-3 years of hands-on experience in Dev Ops or Tech Ops with AI/ML workloads
  • • Experience with MLOps tools (MLflow, Kubeflow, or similar) and ML pipeline orchestration
  • • Proficiency in cloud platforms (AWS, GCP, or Azure)
  • • Strong skills in containerization (Docker, Kubernetes) and CI/CD
  • • Familiarity with ML model deployment and monitoring
  • • Availability for meetings during US Eastern (New York) timezone
  • • Excellent problem-solving and communication skills
  • • Self-motivated with the ability to work independently in a remote setting
Roles and Responsibilities
  • • Design, build, and maintain ML infrastructure and deployment pipelines
  • • Implement and optimize CI/CD workflows for AI/ML models
  • • Monitor and troubleshoot ML systems for performance and reliability
  • • Collaborate with AI/ML engineers to product ionize models
  • • Manage cloud resources and ensure cost-effective scaling
  • • Document infrastructure and operational procedures
  • • Participate in on-call rotation and incident response
  • • Contribute to best practices for MLOps and Dev Ops
Requirements
  • • 2-3 years of experience in Dev Ops/Tech Ops with AI/ML systems
  • • Experience with MLOps tools and ML pipeline orchestration
  • • Proficiency in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
  • • Must be available for meetings in US Eastern (New York) timezone
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