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Posted on 13 Jul, 2026
Remote
Job Description | Responsibilities
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Design and implement end-to-end scalable ML pipelines for training, evaluation, and deployment (LLMs, CV, multimodal models).
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Lead model serving, versioning, CI/CD automation, and real-time monitoring of AI workflows.
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Architect GPU-backed inference systems ensuring <100ms latency, 99.9% uptime, and >80% utilization.
Overview
- Industry - IT - Consulting Services / Advisory Services
- Job Role - DevOps Engineer
- Employment type - Full Time - On Contract
- Work Mode - Remote
Qualifications
- Any Graduate - Any Specialization
- Any Post Graduate - Any Specialization
- Any Doctorate - Any Specialization
Job Related Keywords
Machine Learning Infrastructure
AI Platform
Model Deployment
GPU Orchestration
CI/CD
Terraform
Kubernetes
Docker