Senior Enterprise AI Engineer — Remote

HUMAN-AI-Z Nexus Technology; Dubai; On-site; AED 918,000 - 1,836,000; Full time

Benefits offered by this job

Remote work

Job summary

HUMAN-AI-Z Nexus Technology is hiring a Member of Technical Staff, Enterprise AI for a remote, full-time role to design, build, and deploy scalable AI systems for enterprise environments.

You will collaborate with cross-functional teams to integrate AI solutions into existing infrastructure, develop ML pipelines, evaluate frameworks, and ensure reliable deployment and monitoring.

This position offers exposure to cutting-edge technologies and the opportunity to shape enterprise AI adoption.

Qualifications

• Bachelor's or advanced degree in Computer Science, Engineering, or related field.
• 5+ years of software development experience with AI/ML focus.
• Strong Python skills and ML frameworks experience.
• Experience with cloud platforms and MLOps for deployment and monitoring.
• Ability to design end-to-end AI solutions for enterprise systems.

Responsibilities

• Develop and optimize AI models for enterprise applications.
• Design and implement ML pipelines for data ingestion, processing, and training.
• Collaborate with software engineers to integrate AI components into production systems and APIs.
• Evaluate and select AI frameworks and tools to meet requirements.
• Maintain documentation including architecture diagrams, model specs, deployment procedures.

Skills

5+ years software development with AI

Python proficiency

Problem solving

Education

Bachelor's degree in Computer Science/Engineering

MS/PhD in a quantitative field (preferred)

Tools

TensorFlow

PyTorch

JAX

AWS

GCP

Azure

MLOps tools

Job description

HUMAN-AI-Z Nexus Technology is hiring a Member of Technical Staff, Enterprise AI for a remote, full-time role to design, build, and deploy scalable AI systems for enterprise environments.

You will collaborate with cross-functional teams to integrate AI solutions into existing infrastructure, develop ML pipelines, evaluate frameworks, and ensure reliable deployment and monitoring.

This position offers exposure to cutting-edge technologies and the opportunity to shape enterprise AI adoption.