AI / ML Engineer

misrai.com; Dubai; On-site; AED 350,000 - 600,000; Full time

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

We are looking for an AI / ML Engineer to join our Enterprise AI & Automation division. You'll design and ship private model infrastructure, agentic workflows, and automation systems that keep our clients' data and intelligence fully in-house, never dependent on third-party wrappers.

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.
• Experience with Python, PyTorch or similar, and MLOps tooling.
• Comfort working with private, security-boundary-constrained infrastructure.
• Ability to translate ambiguous business problems into shippable AI systems.

We believe in creating a supportive, dynamic environment where your skills can truly shine. We offer the opportunity to work on exciting, high-impact projects that push the boundaries of what enterprise AI can achieve. Our team is collaborative, innovative, and passionate about delivering exceptional results.