Posted:3 hours ago|
Platform:
Hybrid
Full Time
Use Case:
Extraction of information (metadata) from structured / unstructured documents which are in PDF, HTML, Excel, etc. formats using GenAI capabilities (Gemini, Open AI, etc.)
Must have:
• Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production• Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries• (e.g. TensorFlow, PyTorch and Scikit-Learn).• Proven ability to establish and uphold coding standards to ensure high-quality, maintainable code.• Excellent communication skills for summarizing complex technical concepts clearly and effectively to both technical and non-technical partners.• Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.• evaluate the solutions, optimize model performance, perform error analysis, implement enhancements/experimentations to improve performance and repeat the process iteratively to meet success criteria
Background in machine learning(NLP) and transition into Gen AI(like Gemini, openiAI, chat gpt)
Experience in using prompts using python , exp in writing python code which can be deployed to productionAny cloud(azure/aws/gcp)1-2 yrs in Gen AIShould be using Gen AI to extract data from APDF, html . focusing on more of extraction using Gen AIEMEA time zoneRMZ/DST . Hybrid
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