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

Pay: ?917,939.58 - ?2,200,366.99 per year

Work Location: Remote