Posted:1 week ago|
Platform:
On-site
Full Time
• Design and lead delivery of AI/ML/GenAI pipelines covering data ingestion, model training, validation, deployment, and monitoring. • Build and scale GenAI-based solutions like LLM-driven chatbots, intelligent document processing, RAG pipelines, summarization tools, and virtual assistants. • Architect cloud-native AI platforms using AWS (SageMaker, Bedrock), Azure (ML, OpenAI), or GCP (Vertex AI, BigQuery, LangChain). • Define and implement MLOps and LLMOps frameworks for versioning, retraining, CI/CD, and production observability. • Ensure adherence to Responsible AI principles, including explainability, bias mitigation, auditability, and compliance with BFSI regulations (GDPR, RBI, SOC2, etc.). Engineering & Integration • Work closely with data engineering teams to acquire, transform, and pipeline data from core banking systems, CRMs, claims systems, and real-time feeds. • Design architecture for data lakes, feature stores, and vector databases supporting AI and GenAI use cases
Zensar Technologies
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