AI/ML Data Engineer | Unstructured Data, PySpark, Vector Search, Retrieval-Augmented Generation (RAG), Cloud (AWS/Azure/GCP)
Hyderabad Eco Park, India
INR 2800K-4000K (estimate) Senior-level Full Time
Tasks
- Automate data ingestion processing and deployment
- Build document classification and metadata tagging workflows
- Design scalable data pipelines for unstructured data
- Engineer embeddings and document chunking
- Ensure security, compliance, and data governance
- Implement Retrieval-Augmented Generation architectures
- Integrate vector databases for semantic search
- Monitor system performance and troubleshoot issues
Perks/Benefits
- Flexible workplace arrangements
- Internal mobility programs
- Learning and development programs
- Mentoring
Skills/Tech-stack
AWS | Access Control | Apache Airflow | Azure | Data Governance | Data Quality | Data encryption | Docker | DynamoDB | Faiss | GCP | Hugging Face | Hugging Face Transformers | Kubernetes | Langchain | MongoDB | MySQL | NLP | PostgreSQL | Prefect | PySpark | Python | RAG | Spark MLlib | Terraform
Education
Roles
AI | AI Data Engineer | Data Engineer | Engineer | Python | Python Data Engineer
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