Senior Cybersecurity Data Engineer - AI/ML SME
Tasks
- Architect vector database indexing pipelines for RAG and semantic search
- Build and manage enterprise feature store for low latency delivery
- Build webhook ingestion engines
- Create data connectors and reverse ETL to sync data to business systems
- Design data infrastructure for machine learning lifecycles
- Develop and secure high throughput REST APIs
- Implement CI CD automation for machine learning pipelines
- Migrate notebooks to production grade automated workflows
- Optimize compute for data science workloads
- Process massive datasets using distributed compute frameworks
- Provision and maintain distributed training and inference platform
Perks/Benefits
Skills/Tech-stack
API Security | AWS SageMaker | Amazon EMR | Amazon Kinesis | Apache Flink | Apache Kafka | Apache Spark | Dask | Feast | Feature Store | GitHub Actions | GitLab CI | Jenkins | Langchain | Llamaindex | MLflow | Milvus | NumPy | PGVector | Pandas | Pinecone | Python | Qdrant | REST | REST API | Ray | Retrieval-Augmented Generation | Reverse ETL | SQL | Scikit-learn | Semantic Search | Vector Databases | Webhooks
Education
N/A
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