MLOps Engineer
Openkyber
AI/ML Platform Engineer Location: Brazil Employment Type: Contract Work Model: Remote Role Overview
We are seeking an experienced AI/ML Platform Engineer to design, build, and maintain scalable AI/ML infrastructure and delivery platforms. The ideal candidate will have hands-on experience supporting GPU workloads, LLM integrations, Kubernetes, Docker, Helm, AWS, Terraform/Ansible, CI/CD, and DevOps tooling .
Key Responsibilities- Design and engineer scalable infrastructure for AI/ML workloads and GPU-based environments .
- Build and maintain platforms supporting LLM applications and integrations .
- Deploy and manage AI/ML workloads using Kubernetes, Docker, and Helm .
- Develop and maintain CI/CD pipelines for ML models, applications, and infrastructure.
- Automate infrastructure provisioning and configuration using Terraform and Ansible .
- Deploy and manage AI/ML infrastructure on AWS .
- Implement monitoring, logging, security, and performance optimization for AI/ML platforms.
- Support model deployment, integration, scaling, and operationalization.
- Troubleshoot infrastructure, container, Kubernetes, and deployment issues.
- Establish DevOps and MLOps best practices for reliable AI/ML delivery.
- Collaborate with data scientists, ML engineers, software engineers, and DevOps teams.
Strong experience as an AI/ML Platform Engineer, MLOps Engineer, or DevOps Engineer supporting AI/ML platforms . Hands-on experience with: Kubernetes Docker Helm AWS Terraform and/or Ansible CI/CD GPU workloads LLM integrations Strong understanding of cloud infrastructure, containers, orchestration, and automation. Experience building scalable and highly available AI/ML platforms. Strong scripting and automation skills. Knowledge of monitoring, logging, security, and infrastructure optimization.
Preferred SkillsExperience with MLOps platforms and practices . Experience with NVIDIA GPU infrastructure and CUDA environments. Knowledge of Python and AI/ML frameworks. Experience with LLM platforms, model serving, and inference workloads. Familiarity with AWS services such as EKS, EC2, S3, and SageMaker . Experience with Prometheus, Grafana, or similar observability tools.
For applications and inquiries, contact:View email address on us.fitly.work
Vacancy posted 2 days ago
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