Machine Learning Tech Lead

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)