We are looking for two AI Data Engineers to build operate and continuously improve the data pipelines retrieval infrastructure and ML and LLMOps foundations that power our AI initiatives. These professionals will be responsible for turning reference architectures and data contracts into robust production-grade implementations that serve conversational AI assistants dashboard copilots autonomous agents RAG applications and predictive ML models.
Responsibilities
We are looking for two AI Data Engineers to build operate and continuously improve the data pipelines retrieval infrastructure and ML and LLMOps foundations that power our AI initiatives. These professionals will be responsible for turning reference architectures and data contracts into robust production-grade implementations that serve conversational AI assistants dashboard copilots autonomous agents RAG applications and predictive ML models.
The role involves data pipeline engineering including building testing and maintaining production pipelines in batch and real-time environments using Snowflake PySpark Delta Lake and Kafka. Engineers will implement data quality checks schema validation and alerting at every pipeline stage migrate legacy ETL and data warehouse systems to cloud-native AWS or Azure architectures with measurable latency and cost improvements and maintain CI/CD pipelines with automated testing deployment rollback and infrastructure as code using Terraform and GitHub Actions.
They will also work on RAG vector and retrieval infrastructure by building end-to-end retrieval systems covering document ingestion embedding pipelines vector store management with Pinecone FAISS ChromaDB or OpenSearch and hybrid retrieval layers. Responsibilities include implementing chunking metadata filtering and re-ranking tuned for precision recall and latency maintaining data freshness and index consistency and instrumenting with context relevance and faithfulness metrics.
In addition they will sup
📌 Data Scientist (India)
🏢 Cognizant
📍 India
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.