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The Edge Partnership
AI Infrastructure Engineer
The Edge Partnership
Mumbai•Hybrid•12+ Yrs•1 hour ago
Job description
Hybrid
Overview
Description : Our client is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.
Qualifications
- Architect AI Infrastructure across model training, inference pipelines, and MLOps workflows.
- Design and implement scalable platforms leveraging Kubernetes, cloud-native services, and CI/CD automation.
- Ensure reliability, security, and scalability of AI systems in production.
- Collaborate with data scientists and ML engineers to optimize workflows and accelerate model deployment.
- Develop automation tools for monitoring, logging, and performance optimization.
- Drive best practices in infrastructure-as-code, container orchestration, and distributed systems.
- Mentor junior engineers and contribute to technical leadership across AI infrastructure initiatives.
- Staff-level platform engineer for production AI systems.
- Architects AI infrastructure across training, inference, and MLOps.
- Deep Kubernetes, cloud, and CI/CD experience.
- Owns reliability, security, and scalability of AI platforms.
- Strong Go or Python skills with hands-on AI coding assistants.
- 8 to 12 plus years building and operating enterprise-grade platforms.