AI/ML Platform Engineer (Kubernetes & MLOps)

Full-time
Company: Kanz 30
Compensation: SAR 0 - SAR 15000 - monthly

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

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

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