Job Description

Job Purpose

Oversees the end-to-end ML lifecycle and leads cross-functional teams to build, deploy, and scale AI solutions aligned to strategic business needs.

Key Responsibilities

Lead architecture and design of ML systems across domains.

Supervise development of robust, production-grade ML pipelines.

Champion best practices in experimentation, MLOps, and model monitoring.

Translate business objectives into scalable ML strategies.

Mentor team members and foster a culture of innovation and excellence.

Minimum Qualifications

Education: Bachelor of Computer Science, Master's in ML, CS, or Math is a plus

Experience: 6 years

Key Competency Requirements

Technical Skills:

Expertise in supervised, unsupervised, and deep learning techniques.

Strong command of cloud-native ML tools and data pipelines.

Leadership Skills:

Experience leading ML teams through delivery and operationalization.

Track record of delivering ML products in agile environments.

Soft Skills:

Visionary leadership and technical communication.

Stakeholder influence and cross-team coordination.

Job Type: Full-time

Application Question(s):

What is your current notice period or earliest joining date? What are your salary expectations for this role? Current location, nationality, and current job title/role? Which cloud-native ML tools, frameworks, or data pipelines have you worked with in production? Have you implemented MLOps, model monitoring, and experimentation best practices? How do you provide visionary leadership and technical guidance to ML teams?
Education:

Bachelor's (Preferred)
Experience:

ML lifecycle management, architecture, and delivery: 6 years (Preferred)
Language:

Arabic and English (Preferred)
Location:

* Dubai (Preferred)