
AI Architect
Tranzeal · Hyderabad, TS
Weak hiring record · median 69 days open
All reasons
- Open 47 days
In its favour
- Still listed on the employer's own board
Job Title
AI Architect
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
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
Skills
- Retrieval-Augmented Generation
- ETL
- Embeddings
- Vector Databases
- Elastic
- Pinecone
- SQL
- AWS
- Azure
- GCP
- Databricks
- Snowflake
- Python
- PySpark
- Prompt Engineering
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