AI Infrastructure Sr. Assoc - Agentic Engineer

About this role

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Skills you'll use

What you'll do

• Design and implement infrastructure frameworks for AI model training and deployment
• Manage GPU cluster operations including monitoring, scaling, and optimization
• Configure and maintain Kubernetes-based orchestration platforms for ML workloads
• Implement and tune distributed training frameworks (PyTorch, TensorFlow)
• Build and maintain high-performance data pipelines for AI applications
• Automate infrastructure provisioning using Terraform, Ansible, or Pulumi
• Monitor cloud costs and optimize resource utilization (FinOps)
• Troubleshoot complex infrastructure issues and implement solutions
• Collaborate with ML engineers to diagnose training bottlenecks and performance issues
• Mentor Associate-level team members and contribute to team knowledge sharing

Who can apply

• Bachelor's degree in Computer Science, Engineering, or related field
• 3-5 years of experience in DevOps, cloud infrastructure, or SRE roles
• Strong proficiency in Linux systems administration
• Experience with container orchestration (Kubernetes, Docker)
• Proficiency in Python and Infrastructure as Code tools
• Hands-on experience with cloud platforms (AWS, GCP, or Azure)
• Understanding of machine learning workflows and requirements
• Experience with monitoring and observability tools
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities

About Apex Group

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