Found 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 (CI/CD, data validation, model deployment, monitoring, drift detection)
- Design, build, and optimize agentic AI systems and LLM-powered applications (RAG pipelines, 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 throug...