Senior AI Platform Engineers are crucial in architecting and maintaining the infrastructure that supports AI and ML initiatives across the organization
Job Summary
Senior AI Platform Engineers are crucial in architecting and maintaining the infrastructure that supports AI and ML initiatives across the organization.
As a key member, you will play a vital role in leading the design, development, and optimization of scalable and reliable AI platforms.
We are seeking experienced AI Platform Engineers with a strong background in Azure and AWS cloud services, Databricks, OpenAI, MLOps practices, and Azure DevOps to join our technology team.
Matching Summary
Senior AI Platform Engineers are crucial in architecting and maintaining the infrastructure that supports AI and ML initiatives across the organization.
Skills & Requirements
Must-have
Azure and AWS cloud services
Databricks, OpenAI, MLOps practices
Azure DevOps
Infrastructure-as-Code (IaC)
CI/CD pipelines
Generative AI workloads
Cloud security guidelines
Nice-to-have
Business Resource Groups
Flexible working arrangements
Continuous learning culture
Mentoring junior engineers
Key Requirements
7+ years of experience in platform engineering
Bachelor’s or master’s degree or equivalent experience
Experience with Azure AI services, Azure ML, AWS SageMaker
Exposure to Generative AI ecosystems
Expertise in Azure DevOps or AWS CodePipeline
Sophisticated experience with cloud storage and databases
Sophisticated understanding of networking concepts