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Senior Cloud & ML Infrastructure Engineer Job Opening In Hyderabad – Now Hiring HNM Solutions


Job description

<p><p><b>Senior Cloud & ML Infrastructure Engineer</b><br/><br/><b>Location : Hyderabad Pune</b><br/><br/><b>Experience : 6+ Years</b><br/><br/><b>NOTE : Immediate Joiner</b><br/><br/><b>About the Role : </b><br/><br/>Were looking for a Senior Cloud & ML Infrastructure Engineer to lead the design, scaling, and optimization of cloud-native machine learning infrastructure.

This role is ideal for someone passionate about solving complex platform engineering challenges across AWS, with a focus on model orchestration, deployment automation, and production-grade reliability.

Youll architect ML systems at scale, provide guidance on infrastructure best practices, and work cross-functionally to bridge DevOps, ML, and backend teams.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Architect and manage end-to-end ML infrastructure using SageMaker, AWS Step Functions, Lambda, and ECR<br/><br/>- Design and implement multi-region, highly-available AWS solutions for real-time inference and batch processing<br/><br/>- Create and manage IaC blueprints for reproducible infrastructure using AWS CDK<br/><br/></p><p>- Establish CI/CD practices for ML model packaging, validation, and drift monitoring<br/><br/></p><p>- Oversee infrastructure security, including IAM policies, encryption at rest/in-transit, and compliance standards<br/><br/>- Monitor and optimize compute/storage cost, ensuring efficient resource usage at scale<br/><br/>- Collaborate on data lake and analytics integration<br/><br/>- Serve as a technical mentor and guide AWS adoption patterns across engineering teams<br/><br/><b>Required Skills : </b><br/><br/>- 6+ years designing and deploying cloud infrastructure on AWS at scale<br/><br/></p><p>- Proven experience building and maintaining ML pipelines with services like SageMaker, ECS/EKS, or custom Docker pipelines<br/><br/>- Strong knowledge of networking, IAM, VPCs, and security best practices in AWS<br/><br/></p><p>- Deep experience with automation frameworks, IaC tools, and CI/CD strategies </p><p><br/></p><p>- Advanced scripting proficiency in Python, Go, or Bash</p><p><br/>- Familiarity with observability stacks (CloudWatch, Prometheus, Grafana)<br/><br/><b>Nice to Have : </b><br/><br/>- Background in robotics infrastructure, including AWS IoT Core, Greengrass, or OTA<br/>deployments<br/><br/>- Experience designing systems for physical robot fleet telemetry, diagnostics, and control<br/><br/>- Familiarity with multi-stage production environments and robotic software rollout<br/>processes<br/><br/>- Competence in frontend hosting for dashboard or API visualization<br/><br/>- Involvement with real-time streaming, MQTT, or edge inference workflows<br/><br/>- Hands-on experience with ROS 2 (Robot Operating System) or similar robotics frameworks, including launch file management, sensor data pipelines, and deployment to embedded Linux devices<br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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