AI Engineer Hotfoot Technology Solutions

3.0 - 7.0 years

0 Lacs

chennai, tamil nadu

On-site

We are searching for a talented Document Extraction and Inference Engineer who possesses expertise in traditional machine learning algorithms and rule-based NLP techniques. The ideal candidate will have a solid background in document processing, structured data extraction, and inference modeling using classical ML approaches. Your primary responsibility will involve designing, implementing, and optimizing document extraction pipelines for various applications with a focus on ensuring accuracy and efficiency. Key Responsibilities - Developing and implementing document parsing and structured data extraction techniques. - Utilizing OCR (Optical Character Recognition) and pattern-based NLP for text extraction. - Building Foundational Models (NOT LLM's) to address inference problems. - Optimizing rule-based and statistical models for document classification and entity recognition. - Designing feature engineering strategies to enhance inference accuracy. - Working with structured and semi-structured data (PDFs, scanned documents, XML, JSON). - Implementing knowledge-based inference models for decision-making applications. - Collaborating with data engineers to construct scalable document processing pipelines. - Conducting error analysis and enhancing extraction accuracy through iterative refinements. - Keeping abreast of advancements in traditional NLP and document processing techniques. Required Qualifications - Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. - 3+ years of experience in document extraction and inference modeling. - At least 5+ years of overall experience. - Strong proficiency in Python and ML libraries (Scikit-learn, NLTK, OpenCV, Tesseract). - Expertise in OCR technologies, regular expressions, and rule-based NLP. - Experience with SQL and database management for handling extracted data. - Knowledge of probabilistic models, optimization techniques, and statistical inference. - Familiarity with cloud-based document processing (AWS Textract, Azure Form Recognizer). - Strong analytical and problem-solving skills. Preferred Qualifications - Experience with graph-based document analysis and knowledge graphs. - Knowledge of time series analysis for document-based forecasting. - Exposure to reinforcement learning for adaptive document processing. - Understanding of the credit/loan processing domain. Location: Chennai, India.,

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