AIML Platform Engineer
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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 PurposeOwn the deployment and operational excellence of AI/ML services by establishing robust CI/CD model serving observability and lifecycle management on Kubernetesoptimizing 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 :
- 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
Remote Work :
No
Employment Type :
Full-time
Experience: years
Vacancy: 1
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