Senior Cloud & ML Infrastructure Engineer

Senior Cloud & ML Infrastructure Engineer

Location : Hyderabad Pune

Experience : 6+ Years

NOTE : Immediate Joiner

About the Role :

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.

Key Responsibilities :

• Architect and manage end-to-end ML infrastructure using SageMaker, AWS Step Functions, Lambda, and ECR
• Design and implement multi-region, highly-available AWS solutions for real-time inference and batch processing
• Create and manage IaC blueprints for reproducible infrastructure using AWS CDK
• Establish CI / CD practices for ML model packaging, validation, and drift monitoring
• Oversee infrastructure security, including IAM policies, encryption at rest / in-transit, and compliance standards
• Monitor and optimize compute / storage cost, ensuring efficient resource usage at scale
• Collaborate on data lake and analytics integration
• Serve as a technical mentor and guide AWS adoption patterns across engineering teams

Required Skills :

Nice to Have :

deployments

processes

(ref : hirist.tech)