Senior AI Engineer
EXL·Haryana
- Can I apply
- Open to any education · 6–8 yrs
- Pay
- Pay not stated
- Source
- From the company's careers page · today
- How to apply
- On EXL's site (Oracle): account needed, ~10–15 min
Early: posted 18 h ago on their own site
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About the role
This role lands all six in-scope sources into Fabric, implements standardization and transformation logic, and maintains the data quality checks and monitoring that the entity resolution engine depends on. Reliable, observable ingestion is the foundation the entire programme rests on. Design, develop, and maintain scalable batch and streaming ETL pipelines using Databricks, PySpark, Python, and SQL.
What you'll do
- Build and operate the data pipelines that feed the Entity Hub
What you need
- 4–6 years in data science & ai
- Machine learning
- SQL
- Python
- ETL
- Databricks
- Data modelling
- Any graduate
Good to have
- MLOps
- Terraform
- LLMs
- Spark
- Azure Data Factory
- Data warehousing
What you get
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