AI Engineer
Tasks
- Build ML pipelines end to end
- Build config driven reusable ML frameworks
- Deploy models with Docker and Kubernetes
- Deploy real time models as REST APIs
- Develop and serve ML features
- Implement CI/CD for ML
- Implement streaming data ingestion
- Monitor model performance
- Process large-scale data with Spark
- Tune and scale real time inference services
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | Amazon S3 | Apache Beam | Apache Flink | Apache Kafka | Apache Spark | Apigee API | Apigee API Gateway | BigQuery | Bigtable | CI/CD | Cloud Pub/Sub | Docker | FastAPI | Flask | Google Cloud | Google Cloud Pub/Sub | Google Cloud Vertex | Google Cloud Vertex AI | HTTP | Kafka Connect | Kubernetes | Logstash | MongoDB | OpenAPI Swagger | Pub/Sub | PySpark | Python | REST API | Redis | Spark Streaming | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer
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