Engineering

AI/ML Platform Engineer (Kubernetes & MLOps)

Kanz 30

Riyadh, Saudi Arabia
Full-time, Mid-Senior Level
Remote: No
I'm Interested
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Company Description

Jobs for Humanity is partnering with Kanz 30 to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.

Company Name: Kanz 30

Job Description

We are seeking an MLOps/AI Platform Engineer to build, deploy, and scale production AI/ML services on Kubernetes. You will partner with ML engineers and software teams to operationalize models with strong reliability, performance, and cost efficiency using automated pipelines, monitoring, and end-to-end MLOps practices.

Job Purpose

Own the deployment and operational excellence of AI/ML services by establishing robust CI/CD, model serving, observability, and lifecycle management on Kubernetes—optimizing inference performance (latency/throughput), ensuring reliable releases, and reducing infrastructure and operating costs.

Job Duties and Responsibilities
  • Kubernetes
  • Docker
  • CI/CD (GitHub Actions/Jenkins)
  • Python
  • REST/gRPC model serving
  • MLflow
  • TensorFlow or PyTorch
  • Prometheus/Grafana
  • Kafka/RabbitMQ
  • Monitoring and alerting
  • Automated MLOps practices
  • Model performance optimization
  • Cost optimization

Job Qualifications

Required Qualifications
  • Kubernetes
  • Docker
  • Python
  • MLflow
  • TensorFlow or PyTorch
  • REST/gRPC model serving
  • CI/CD (GitHub Actions/Jenkins)
  • Prometheus/Grafana
  • Kafka/RabbitMQ
  • AWS/GCP/Azure basics
  • Monitoring and incident response
  • MLOps/production AI experience
I'm Interested