Jobs · cutshort
Senior Cloud ML Infrastructure Engineer
Nimbus Data Systems · Bengaluru (Bangalore) · Indexed today
About the role
Architect and manage cloud-native ML infrastructure on AWS, focusing on automation and scalability.
🚀 We’re Hiring: Senior Cloud ML Infrastructure Engineer 🚀 We’re looking for an experienced engineer to lead the design, scaling, and optimization of cloud-native ML infrastructure on AWS . If you’re passionate about platform engineering, automation, and running ML systems at scale , this role is for you. What you’ll do: 🔹 Architect and manage ML infrastructure with AWS (SageMaker, Step Functions, Lambda, ECR) 🔹 Build highly available, multi-region solutions for real-time batch inference 🔹 A
Read the full posting on cutshort →
Responsibilities
- ▸Architect and manage ML infrastructure on AWS
- ▸Build multi-region solutions for inference
- ▸Focus on platform engineering and automation
Must-have skills
- ▸ml infrastructure
- ▸aws
- ▸sagemaker
- ▸step functions
- ▸lambda
- ▸ecr
- ▸platform engineering
- ▸automation
- ▸ml systems at scale
FAQ
Is the Senior Cloud ML Infrastructure Engineer role at Nimbus Data Systems remote?+
This Senior Cloud ML Infrastructure Engineer position is listed as onsite (Bengaluru (Bangalore)).
What is the salary for the Senior Cloud ML Infrastructure Engineer role at Nimbus Data Systems?+
The listing states 1980000-2970000 INR.
What seniority level is this Senior Cloud ML Infrastructure Engineer role?+
This is a senior level position.
What skills does the Senior Cloud ML Infrastructure Engineer role require?+
Key requirements include ml infrastructure, aws, sagemaker, step functions, lambda, ecr, platform engineering, automation.
How do I apply for the Senior Cloud ML Infrastructure Engineer role at Nimbus Data Systems?+
Use the "Apply on cutshort" button to open the original posting on cutshort, where you can submit your application directly to Nimbus Data Systems.