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Infrastructure

DevOps/MLOps Intern

Deploy AI that works on 2G in rural Kenya

Nairobi, Kenya (Hybrid)Unpaid internshipIntern

Internship format

Currently unpaid — built for candidates optimizing for impact, learning, and mission alignment.

About This Role

Build the infrastructure that makes Pawa-Med™ run reliably across Africa — from cloud-native deployments to edge-optimized models that run on low-resource hardware in rural clinics with unreliable internet.

We are prioritizing builders who are deeply curious, mission-driven, and excited to grow fast while solving real African healthcare problems.

What You'll Do

  • Build and maintain CI/CD pipelines for AI model deployment
  • Optimize model inference for edge deployment and low-resource environments
  • Implement model monitoring, logging, and alerting systems
  • Manage containerized deployments with Docker and Kubernetes
  • Set up model versioning and experiment tracking (MLflow, W&B)
  • Ensure system reliability and uptime across multi-region deployments

Requirements

  • Proficiency in Linux/bash and cloud platforms (AWS, GCP, or Azure)
  • Experience with Docker and basic container orchestration
  • Understanding of CI/CD pipelines (GitHub Actions, GitLab CI)
  • Basic knowledge of Python scripting and automation
  • Strong troubleshooting and debugging skills

Nice to Have

  • Experience with Kubernetes or similar orchestration platforms
  • Familiarity with ML model optimization (ONNX, TensorRT, quantization)
  • Knowledge of edge AI deployment patterns
  • Experience with infrastructure-as-code (Terraform, Pulumi)

What You Get

  • Cloud infrastructure credits
  • Exposure to production ML systems
  • DevOps/Cloud certification support
  • Fast-paced startup environment

Apply for This Role

We read every application ourselves. No recruiter filters — just careful review by the core team.

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