AI/ML Platform Engineer (Kubernetes & MLOps)

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 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 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