Description

You will design and implement large-scale enterprise AI/ML solutions and architectures, owning the technical direction from concept to production.

Responsibilities

• Design AI architecture and plan end-to-end ML pipelines for enterprise-scale applications.
• Develop and oversee production workflows for deep learning and ML workloads.
• Manage architectural trade-offs across data management, governance, model building, and deployment.
• Drive AI adoption and transformation through direct technical leadership.

Required Skills

• 10+ years of related professional work experience.
• 8+ years of experience specifically in AI/ML roles with a track record of successful implementations.
• Proficiency in Python, R, or Java.
• Deep understanding of ML and deep learning pipeline architectures.
• Knowledge of software engineering and DevOps principles.
• Experience with Git, containers, and Kubernetes.
• Familiarity with CI/CD workflows and tools.
• Ability to manage data governance and production deployment workflows.

Preferred Skills

• Experience leading technical transformation initiatives in large enterprises.

Key Skills

Education

Any Graduate