Job Description

Responsibilities

  • Build and maintain scalable batch and streaming data pipelines for ingestion, transformation and curation
  • Design and optimize data models, feature stores and storage patterns for AI/ML workloads
  • Implement DataOps and MLOps automation, including CI/CD, data validation, model deployment, monitoring and drift detection
  • Design, build and optimize agentic AI systems and LLM‑powered applications, RAG pipelines and agent orchestration
  • Develop and integrate AI services into secure, production‑grade environments
  • Design and implement AI systems architecture best practices and standards across the organization
  • Build scalable, resilient cloud and on‑premise systems for hosting AI/LLM applications
  • Provide infrastructure design, optimization and monitoring support
  • Translate business requirements into technical solutions through cross‑functiona...

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