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Job Description & How to Apply Below
10+ years of experience in Data Engineering / AI Platforms
Strong hands-on experience with Python (FastAPI / Flask)
Advanced SQL for large-scale, low-latency systems
Experience building AI-enabled data pipelines
Working experience on AWS / GCP / Azure
Hands-on with LLMs / GenAI (OpenAI, Azure OpenAI, Lang Graph, MLflow)
Experience with data quality automation, anomaly detection & monitoring
Exposure to data catalogs, governance, lineage, and compliance
Comfortable owning production systems end-to-end
Nice to have :
NLP for document intelligence (classification, extraction, summarization)
Spark / Distributed data processing
Regulated or enterprise-scale environments
Role Focus:
AI-driven data ingestion & enrichment
Automated data quality & governance
Intelligent data catalogs & lineage
Predictive risk detection
AI copilots for analytics & data consumers
This is a hands-on platform engineering role ,
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