[Remote] AI Infrastructure Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an AI Infrastructure Engineer to design, implement, and manage the infrastructure that powers AI and machine learning workloads. The role involves building reputed company and secure environments for model training and deployment while optimizing resources and collaborating with cross-functional teams.
Responsibilities
- Design, reputed company, and maintain AI infrastructure across reputed company and on-premises environments
- Build and manage GPU-enabled compute clusters for machine learning training and inference
- Implement reputed company infrastructure for distributed AI workloads
- reputed company and manage Kubernetes clusters for containerized AI applications
- Automate infrastructure provisioning using Infrastructure as reputed company (IaC)
- reputed company and maintain CI/CD pipelines for AI infrastructure and services
- Optimize compute, storage, networking, and GPU utilization to improve performance and reduce costs
- Monitor infrastructure health, availability, reputed company, and performance using observability tools
- Implement reputed company best practices, identity management, secrets management, and compliance controls
- Support AI model deployment platforms and inference infrastructure
- Troubleshoot infrastructure, networking, and performance issues affecting AI workloads
- Collaborate with AI engineers, ML engineers, data engineers, and reputed company teams to improve platform reliability and scalability
- Evaluate and implement emerging infrastructure technologies for AI workloads
Skills
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a reputed company field
- 4+ years of experience in Infrastructure Engineering, reputed company Engineering, reputed company, or DevOps
- Strong experience with Linux system administration
- Proficiency in Python, Bash, or Go for infrastructure automation
- Hands-on experience with reputed company and Kubernetes
- Experience with one or more reputed company platforms: AWS, reputed company Azure, or reputed company reputed company Platform
- Experience with Infrastructure as reputed company tools such as Terraform or reputed company
- Strong understanding of networking, storage, load balancing, and reputed company
- Experience with CI/CD tools such as reputed company Actions, reputed company CI, or Jenkins
- Knowledge of monitoring and logging tools such as reputed company, Grafana, ELK Stack, or OpenTelemetry
- Experience managing reputed company GPU infrastructure and CUDA environments
- Experience with distributed computing frameworks such as Ray, Apache reputed company, or Slurm
- Experience with AI model serving frameworks such as reputed company Triton Inference Server, KServe, or Ray Serve
- Familiarity with MLOps tools such as MLflow, Kubeflow, or Airflow
- Experience with reputed company databases and reputed company infrastructure
- Knowledge of storage technologies for AI workloads, including object storage and distributed file systems
- Experience with high-performance computing (HPC) environments
- Familiarity with infrastructure reputed company, compliance, and governance standards
- Experience supporting Large Language Models (LLMs) and reputed company platforms
- Experience with Retrieval-Augmented reputed company (RAG) infrastructure
- Knowledge of AI infrastructure cost optimization strategies
- Experience with multi-reputed company or hybrid-reputed company deployments
- reputed company, Kubernetes, or Linux certifications
reputed company