Pre-screened and vetted in the Bangalore Metro.
Junior Data Engineer specializing in Azure data platforms and GenAI analytics
“Data/ML practitioner with experience spanning medical imaging (retinal vessel analysis for hypertension/CVD risk prediction) and enterprise data engineering at Carl Zeiss. Built large-scale SAP data cleaning/validation pipelines (10M+ daily records, ~99% accuracy) and RAG-based semantic search with LangChain/vector DBs that cut manual querying by 82%, plus automation that reduced data onboarding from 8 hours to 12 minutes.”
Mid-level Data Scientist / Data Engineer specializing in Azure ML and scalable data pipelines
Junior Machine Learning Engineer specializing in Generative AI and analytics automation
“AI/LLM engineer who built a production intelligent support system using RAG over a vectorized documentation library, addressing real-world issues like lost-in-the-middle context failures and doc freshness via automated GitHub-driven re-embedding pipelines. Emphasizes rigorous agent evaluation (component/E2E/ops) and prefers lightweight, decoupled workflow automation using message brokers (Redis/RabbitMQ) over heavyweight orchestration frameworks.”
Junior Data Engineer specializing in ETL/ELT pipelines and GenAI RAG systems
Mid-level Data Analytics & BI Developer specializing in Power BI dashboards
Junior Data Engineer specializing in IoT analytics and AWS data pipelines
Junior Software Developer specializing in Python, data engineering, and GenAI