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FDE

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Hybrid

FDE

Ascendion Engineering

FDE

Skills

Google Cloud PlatformPythonData AnalysisMachine LearningAIAWSKubernetesAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

8 September 2026

What they need


  • Deep GenAI / LLM experience, especially RAG, GraphRAG, Knowledge Graphs, semantic search, vector databases
  • Strong Agentic AI experience: multi-agent orchestration, MCP, tool use, memory, human-in-the-loop
  • Strong Python / full-stack AI application development with APIs, backend, and production deployments
  • Experience building document ingestion / intelligent document processing pipelines
  • Strong ML background: forecasting, prediction, anomaly detection, fraud/analytics use cases
  • Hands-on Azure, GCP, and ideally AWS, including AI/ML services and Kubernetes
  • Experience with MLOps / LLMOps, model lifecycle, monitoring, governance, explainability, and production readiness
  • Strong data architecture skills: large-scale pipelines, complex schemas, event-driven systems, APIs, high-volume processing
  • Senior enough to define AI strategy, roadmaps, reference architectures, standards, and best practices
  • Able to work directly with business leaders and executives, while also mentoring engineers and going deep into technical design
  • Comfortable owning work end-to-end with minimal supervision
  • Preference for experience in finance/banking or regulated environments
  • Strong communication, stakeholder management, and cross-functional leadership

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