
AI/ML Infrastructure Engineer
2 days ago
About VisionX
VisionX Technologies, Inc. is a pioneering innovation partner that collaborates with world-leading brands and Fortune 1000 companies to deliver cutting-edge solutions.
We leverage agile methodologies, technology accelerators, and intellectual property creation to drive innovation and growth.
Job Requirements:
We seek a highly experienced Senior DevOps Engineer with extensive background in designing and managing cloud-based infrastructure for AI/ML applications and broader IT infrastructure of a growing organization.
The ideal candidate will have strong background in Infrastructure as Code (IaC), cloud services, and DevOps best practices.
Key Responsibilities:
- Infrastructure Design and Management:
- Architect, implement, and manage scalable, secure, and highly available cloud infrastructure that supports LLM and generative AI model deployment.
- Design and maintain the organization's overall IT infrastructure, ensuring seamless operation of all enterprise applications, databases, and services.
- 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.
- Performance and Scalability:
- 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 CI/CD:
- 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.
- Monitoring and 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.
- Collaboration and Support:
- Work closely with AI/ML teams, software developers, and IT staff to understand infrastructure needs and provide technical support.
- Collaborate with cross-functional teams to ensure smooth integration and operation of AI solutions within the broader organizational infrastructure.
- Provide mentorship and leadership to junior DevOps engineers and IT staff, fostering a culture of continuous learning and improvement.
- Innovation and Continuous Improvement:
- Stay current with the latest developments in cloud infrastructure, DevOps practices, and AI/ML technologies.
- Proactively identify opportunities to improve infrastructure, tools, and processes, driving innovation and efficiency within the organization.
What We Offer:
We provide a comprehensive benefits package, including competitive salary, health insurance, retirement plan, and generous paid time off.
We also offer professional development opportunities, including training, mentorship, and career advancement.
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