Director - Platform Deployment and Management

Role Summary

The Director of AI Platform & MLOps is a critical, hands-on technology leader responsible for the architecture, execution, and day-to-day management of the infrastructure powering our AI Training Data Services. You will lead a world-class team of engineers to build, scale, and operate a robust, secure, and highly automated platform. This role requires a deep technical background in cloud infrastructure, MLOps, and large-scale systems, combined with proven experience in leading high-performing engineering teams.

Responsibilities

Technical Execution & Architecture :

• Translate the long-term vision into an executable technical roadmap, making key architectural decisions for the platform.
• Lead the hands-on design and implementation of our MLOps / LLMOPs framework, including CI / CD for models, data / model versioning, automated workflows, and monitoring.
• Engineer and manage a scalable, multi-cloud infrastructure (AWS / GCP / Azure) using Infrastructure as Code (IaC) principles (Terraform, CloudFormation).
• Oversee the technical integration, scaling, and reliability of data annotation platforms and the GIG worker technology layer.
• Drive SRE best practices to ensure high availability, performance, and security of the entire platform.

Team & Operational Leadership

Stakeholder & Client Engagement

Skills & Qualification

Skills Required

Airflow, Cloudformation, Cloud Infrastructure, Gcp, MLops, Terraform, Azure, Kubernetes, Aws