AI/ML Data Engineer | Unstructured Data, PySpark, Python, Vector Search, RAG Architectures, Cloud (GCP/AWS)
Bengaluru - BCIT, India
INR 2520K-4000K (estimate) Senior-level Full Time
Tasks
- Build scalable data pipelines for unstructured content
- Collaborate with AI architects and data scientists
- Develop document classification cleansing and enrichment
- Engineer vector embeddings and document chunking
- Implement automation monitoring and security best practices
- Integrate RAG workflows for semantic search and QA
- Monitor pipeline performance and ensure data quality
- Support proof of concept testing deployment and monitoring
- Tag metadata for AI applications
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | Azure | BigQuery | CI/CD | Datadog | Dataflow | Faiss | Fine Tuning | GCP | Git | Hugging Face | Inference | Jenkins | Langchain | MongoDB | MySQL | NLP | OCR | PostgreSQL | Prefect | Prometheus | Prompt engineering | PySpark | Python | Redis | Transformers | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Data Engineer | Data Engineer | Engineer | ML Data Engineer
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