As an AI Platform Engineer, you will design, build, and scale robust platform components that enable advanced AI/ML workloads across on-premises and cloud environments
Job Summary
As an AI Platform Engineer, you will design, build, and scale robust platform components that enable advanced AI/ML workloads across on-premises and cloud environments.
You will collaborate with diverse teams to solve complex challenges and help shape the technical direction of a platform transforming AI usage in financial services.
The role involves hands-on engineering with a focus on secure, scalable, and innovative solutions while fostering a culture of technical excellence and growth.
Matching Summary
As an AI Platform Engineer, you will design, build, and scale robust platform components that enable advanced AI/ML workloads across on-premises and cloud environments.
Skills & Requirements
Must-have
Python backend and infrastructure engineering
AWS services expertise including IAM and Lambda
Scaling AI/ML platforms
Secure software development practices
Cloud cost optimization
Platform observability
Technical strategy guidance
Nice-to-have
Experience with MLOps platforms like Databricks or SageMaker
Hybrid cloud strategies with Azure and Kubernetes
AI infrastructure for scalable model serving and GPU orchestration
Expertise in Large and Small Language Models
Hands-on with Hugging Face tools
Knowledge of agentic frameworks and Model Context Protocol
Awareness of emerging GenAI and cloud-native AI trends