Programmers.io is looking for Senior Deep Learning Engineer
Job Description:
We are looking for a seasoned Machine Learning Engineer with over 5+ years of experience, specializing in Computer Vision, Graph Search, and Natural Language Processing (NLP). The ideal candidate will be responsible for developing and deploying cutting-edge machine learning models, with a focus on P&ID diagram processing, object detection, and OCR. Additionally, you will work on innovative technologies such as Generative AI, leveraging Azure OpenAI services, and developing prompt engineering and Retrieval-Augmented Generation (RAG) techniques.
Key Responsibilities:
- Computer Vision & P&ID Diagram Processing:
- Develop and implement machine learning models for processing and analyzing Piping and Instrumentation Diagrams (P&ID).
- Extract and analyze relationships between symbols and tags within P&ID diagrams.
- Design and optimize algorithms for object and line detection in engineering diagrams.
- Implement solutions to identify flow directions within P&ID diagrams.
- Graph Search & Relationships Extraction:
- Develop graph-based search algorithms to efficiently extract and analyze relationships between components in complex diagrams.
- Collaborate with engineering teams to improve the accuracy and performance of relationship extraction between symbols and tags.
- OCR & Text Processing:
- Implement Optical Character Recognition (OCR) solutions to extract textual data from engineering diagrams and documents.
- Enhance the accuracy of OCR systems for specialized use cases in engineering contexts.
- Generative AI & Azure OpenAI:
- Design and implement Generative AI models using Azure OpenAI to solve domain-specific problems.
- Develop and refine prompt engineering techniques for various AI-driven applications.
- Apply RAG techniques to improve the performance and relevance of AI models in real-world scenarios.
- NLP & Recommendation Systems:
- Design and develop Natural Language Processing (NLP) models to extract and process information from unstructured data sources.
- Build and optimize recommendation systems tailored to specific use cases within engineering and industrial domains.
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