- Cloud Infrastructure Management: Provide technical support for our Generative AI platform, with a strong focus on the integration of cloud infrastructure deployment and ongoing maintenance.
- Resilience & Scalability: Assess and enhance the AI platform's cloud infrastructure and data pipeline resilience using AWS and cloud-based technologies. Ensure the scalability and fault tolerance of AI/ML models within cloud environments.
- Performance Optimization: Identify and resolve bottlenecks in model inference and training pipelines, focusing on performance and resource optimization. Optimize cloud resource utilization on AWS for real-time use cases, including AI model deployment.
- DevOps Collaboration: Work closely with the DevOps team on improving cloud deployment processes and managing AWS infrastructure.
- Automated Testing: Implement automated testing to simulate fault tolerance and ensure high availability of the platform.
- Technical Support: Provide ongoing technical support for users of the Generative AI platform, troubleshooting issues and responding to queries to ensure seamless operations.
- Monitoring & Cost Optimization: Monitor cloud platform performance on AWS, identifying and implementing optimization strategies to improve cost efficiency and scalability.
- AWS Services Utilization: Work hands-on with various AWS cloud services (e.g., EC2, S3, Lambda, VPC) to ensure proper configuration management and performance.
- Documentation: Document key processes, issues, and solutions for knowledge sharing and future reference.
- Continuous Learning: Stay updated with industry trends in Generative AI, cloud technologies, and AWS cloud administration.
- AWS Cloud Administration: Expertise in AWS Cloud Administration and Infrastructure management.
- AWS Services: Hands-on experience with AWS cloud services including EC2, S3, Lambda, VPC.
- Cloud Infrastructure & Data Pipelines: Proven ability to assess and enhance cloud infrastructure and data pipeline resilience using AWS and cloud-based technologies.
- Scalability & Fault Tolerance: Experience ensuring scalability and fault tolerance of AI/ML models within cloud environments.
- Performance Optimization: Ability to identify and resolve bottlenecks in model inference and training pipelines, focusing on performance and resource optimization.
- Resource Optimization: Experience optimizing cloud resource utilization on AWS for real-time use cases.
- Automated Testing: Ability to implement automated testing to simulate fault tolerance and ensure high availability.
- Monitoring: Experience monitoring cloud platform performance on AWS.
- Proven experience in providing technical support for AI platforms with a focus on cloud infrastructure.
- Demonstrated ability to collaborate with DevOps teams on cloud deployment processes and AWS infrastructure management.
- Strong troubleshooting skills for technical issues.
- Ability to collaborate effectively with cross-functional teams.
- Strong communication skills for technical support and knowledge sharing.
- Proactive approach to identifying and implementing optimization strategies.
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AWS Infra - Hyderabad / Secunderabad, Telangana - Virtusa
Description
Job Title: AWS Infrastructure Engineer (Generative AI Platform Support)
Location
Hyderabad, Telangana, India
Key Responsibilities
As an AWS Infrastructure Engineer focusing on Generative AI Platform Support, you will:
Mandatory Skills & Experience
Technical Proficiency:
Experience & Qualifications:
Essential Professional Skills
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