AI/ML Platform Engineer (Kubernetes & MLOps)
Jobs for Humanity
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