
AI/ML Infrastructure Manager
3 days ago
VisionX Technologies, Inc. partners with leading global brands and Fortune 1000 companies to deliver product strategy and custom application development leveraging agile methodologies and technology accelerators to create Intellectual Property.
Job Description:
As a Senior DevOps Engineer at VisionX Technologies, Inc., you will be responsible for supporting the deployment of generative AI models and overseeing the infrastructure that underpins all our enterprise applications and services. This role will be critical in designing and managing cloud-based infrastructure for AI/ML applications as well as the broader IT infrastructure of a growing organization.
Responsibilities:
- Infrastructure Development:
- Design, implement, and manage scalable, secure, and highly available cloud infrastructure that supports LLM and generative AI model deployment.
- Develop and maintain Infrastructure as Code (IaC) solutions using tools like Terraform, AWS CloudFormation or similar to automate infrastructure provisioning and management across the organization.
- Scalability and Performance:
- Ensure that infrastructure supporting AI models and organizational systems is optimized for high performance and scalability to handle millions of requests and large-scale data processing.
- Implement auto-scaling strategies for both AI and organizational environments to ensure resource efficiency and cost-effectiveness.
- Security and Compliance:
- Establish and enforce security best practices across all organizational infrastructure, ensuring compliance with industry standards and regulations.
- Implement and maintain robust security protocols including network security, data encryption, and identity management.
- Automation and Integration:
- Design and implement CI/CD pipelines for AI model deployments and enterprise application updates ensuring continuous integration and delivery.
- Automate routine tasks such as software deployments, system updates, and infrastructure monitoring to reduce manual intervention and increase operational efficiency.
- Incident Management:
- Set up and maintain monitoring logging and alerting systems to ensure the health and performance of infrastructure across the organization.
- Lead incident management and response efforts diagnosing and resolving issues promptly to minimize downtime and impact on the organization.
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