Role : Senior Cloud & ML Infrastructure Engineer .
What the role is about :
Youll build and manage the systems that let machine learning (ML) models run reliably in the cloud (mostly on AWS).
Youll make sure these systems can scale up (handle more load), are secure, and are easy to deploy and monitor.
Youll act as a bridge between software engineers, DevOps, and ML teams, helping everyone work smoothly together.
Key tasks :
- Use AWS tools (like SageMaker, Lambda, Step Functions) to run ML models.
- Make the system run across multiple regions so its always available.
- Write Infrastructure-as-Code (IaC) so the setup can be repeated easily.
- Set up CI / CD pipelines so ML models can be updated and deployed automatically.
- Keep things secure (permissions, encryption, compliance).
- Watch performance and reduce costs (like compute and storage).
- Help connect ML with data lakes (big storage / analytics systems).
- Teach and mentor others on AWS best practices.
What skills are needed :
Lots of AWS experience (6+ years).Building ML pipelines (with SageMaker, ECS / EKS, or Docker).Strong cloud security, networking, automation, and CI / CD knowledge.Scripting (Python, Go, or Bash).Monitoring tools (CloudWatch, Prometheus, Grafana).Bonus points if you :
Have worked with robots (IoT, AWS Greengrass, OTA updates).Managed robot fleets (telemetry, diagnostics, updates).Worked with real-time data streaming or edge devices.Used ROS 2 (Robot Operating System)Immediate joiners to 15 days to 30 days notice period
Location : Bangalore / Bengaluru, Hyderabad, Pune, Mumbai, Mohali, Panchkula, Delhi
Experience : 6 to 10+ Years
Night Shift : 9 pm to 6 am IST
(ref : hirist.tech)