TI
AI Architect
Tranzeal Inc.
🇮🇳 India
Hybrid
2 weeks ago
- AI
- RAG
- ETL
- Elastic
- Pinecone
- SQL
- NoSQL
- AWS
- Azure
- GCP
- Databricks
- Snowflake
- Python
- PySpark
2 weeks ago
Location : CHN/HYD/BLR/PUN/KOL/KOC
Client:Telecommunication
Skills : RAG Architecture, vector DB, Data pipelines
Salary : 27 LPA
Experience : 10+ Years
Job Description:strong RAG embedding experience handling Structured and Unstructured data for Ingestion and Retrieval  for the Orion Marketing program .
Responsibilities –
Data Pipelines: Build and manage ETL pipelines to ingest vast amounts of structured and unstructured data.
Vector Embeddings: Prepare data for Gen AI. This involves converting data into vector embeddings (numerical representations of data) so AI models can understand and search it.
System Architecture: Design robust storage solutions and vector databases (like Elastic or Pinecone) for AI systems.
Model Governance: Ensure AI models use compliant, clean data. Prevent the system from producing incorrect or hallucinations
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Technical Skill-
Databases: SQL, NoSQL, and Vector databases.
Cloud Platforms: Experience with major cloud providers (AWS, Azure, Google Cloud) and data tools like Databricks, Snowflake.
Programming: Python and Big Data frameworks like PySpark.
AI Concepts: Deep understanding of RAG ,fine-tuning models, and prompt engineering
AI Architect · Tranzeal Inc.