AI/ML Platform Engineer (Kubernetes & MLOps)
Seeking an MLOps/AI Platform Engineer to build, deploy, and scale AI/ML services on Kubernetes with automated pipelines and monitoring.
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