Enterprise AI Engineer: On-Device, Private Model Infra

misrai.com

Dubai

On-site

AED 350,000 - 600,000

Full time

8 days ago
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Job summary

misrai.com is seeking an AI/ML Engineer to design and ship private model infrastructure, agentic workflows, and automation systems for enterprise clients. You will work on end-to-end model development, deployment, and optimization within secure, in-house environments.

The role emphasizes building scalable AI solutions, collaborating with software teams, and advancing techniques in agentic and on-device AI for real-world production workloads.

Qualifications

  • Strong grounding in machine learning fundamentals.
  • Experience with Python and PyTorch.
  • Familiarity with MLOps tooling and deployment workflows.

Responsibilities

  • Design, train, and fine-tune models for enterprise use cases across text, vision, and voice.
  • Build and maintain agentic workflows and automation pipelines for real production traffic.
  • Own model evaluation, versioning, and deployment inside client-controlled environments.
  • Optimize inference latency, cost, and reliability for on-device and self-hosted systems.
  • Partner with software engineers to integrate models into full-stack products.
  • Research and prototype emerging techniques in agentic and on-device AI.
  • Document model behavior, limitations, and guardrails for internal and client teams.
  • Strong grounding in machine learning fundamentals and modern model architectures.

Skills

Python
PyTorch
MLOps
ML fundamentals
Model architectures
On-device AI
Deployment

Tools

MLOps tooling

Job description

misrai.com is seeking an AI/ML Engineer to design and ship private model infrastructure, agentic workflows, and automation systems for enterprise clients. You will work on end-to-end model development, deployment, and optimization within secure, in-house environments.

The role emphasizes building scalable AI solutions, collaborating with software teams, and advancing techniques in agentic and on-device AI for real-world production workloads.

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