AI/ML Platform Engineer

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

• 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