Lead and manage the day-to-day operations of the station to ensure efficient parcel processing, dispatch, and delivery in accordance with established service standards.
Drive operational performance by monitoring and achieving key performance indicators (KPIs), including Delivery On Time (DOT), Standard Due Date (STD), Operational Compliance, Lost & Damage, and Cost Per Consignment/Weight (CPC/CPW).
Analyze operational data and performance trends to identify improvement opportunities and implement corrective and preventive actions to enhance service quality and operational efficiency.
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Lead and manage the day-to-day operations of the station to ensure efficient parcel processing, dispatch, and delivery in accordance with established service standards.
Drive operational performance by monitoring and achieving key performance indicators (KPIs), including Delivery On Time (DOT), Standard Due Date (STD), Operational Compliance, Lost & Damage, and Cost Per Consignment/Weight (CPC/CPW).
Analyze operational data and performance trends to identify improvement opportunities and implement corrective and preventive actions to enhance service quality and operational efficiency.
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Design, implement, and manage MLOps workflows, tools, and operational processes for ML and GenAI solutions to ensure efficient production deployment
Oversee daily stability, reliability, and operational health of ML models and pipelines to maintain consistent performance
Manage model lifecycle operations including registration, versioning, deployment tracking, lineage, reproducibility, and governance to ensure compliance and traceability
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Lead AI-driven redesign of network operational processes across mobile, broadband, and TV domains to enhance efficiency and service quality
Identify automation and optimization opportunities within operations, assurance, and service management workflows to improve productivity
Manage end-to-end AI use cases from problem definition and current-state analysis through deployment and operational handover to ensure successful implementation
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Design and implement OCR, VLM, and multimodal AI pipelines leveraging state-of-the-art models (e.g., GPT- [4/5]o, vision-language models, Text-to-Speech) for accurate content extraction, layout understanding, and table/chart interpretation
Design, build, productionize, and support scalable document parsing and content extraction pipelines on a modern hybrid cloud platform, handling structured and unstructured data including PDFs, PPTX, Excel, Word, images, scanned documents, videos, audios, charts, tables etc
Develop and optimize embedding models, including fine-tuning and domain adaptation to support organization-specific terminology, keywords, and semantic search use cases
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