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AI/ML Developer
2 weeks ago
Job Description: AI/ML Developer
Position Overview
We are seeking an experienced AI/ML Developer with strong data extraction and analysis skills to build a system that processes structured and unstructured financial documents, extracts key transactional data, and performs intelligent pricing analysis. The ideal candidate will have expertise in document AI, natural language processing, and data pipeline development.
Core Technical Requirements:
AI/ML & Data Processing Skills
Strong experience with document processing pipelines (OCR, text extraction, data normalization)
Proficiency in natural language processing (NLP) for entity recognition and relationship extraction
Experience with computer vision techniques for document layout analysis
Knowledge of machine learning for tabular data extraction (invoice/bill parsing)
Familiarity with large language models (LLMs) for document understanding
Ability to implement custom rule engines for domain-specific logic
Programming & Backend Development
Expert in Python with experience in:
Data science stack (Pandas, NumPy, Scikit-learn)
NLP libraries (SpaCy, NLTK, Hugging Face Transformers)
Deep learning frameworks (PyTorch, TensorFlow)
Experience with API development (FastAPI, Flask, Django)
Knowledge of distributed processing for large document volumes
Understanding of data security and compliance in financial data processing
Data Infrastructure & Cloud
Experience with document storage and retrieval systems
Knowledge of vector databases for semantic search
Familiarity with cloud AI services (AWS Textract, Azure Form Recognizer, GCP Document AI)
Experience with data pipeline orchestration (Airflow, Luigi)
Understanding of scalable system architecture
Additional Valuable Skills
Experience with financial document schemas (invoices, receipts, statements)
Knowledge of pricing analysis and discount calculation methodologies
Familiarity with multi-language document processing
Experience with active learning systems for continuous model improvement
Understanding of human-in-the-loop validation systems
Qualifications
3+ years of professional experience in AI/ML development
Strong background in applied machine learning (not just theoretical)
Proven track record of production-grade document processing systems
Degree in Computer Science, Data Science, or related technical field (or equivalent experience)
Project Expectations
Design and implement end-to-end document processing systems
Develop custom models for domain-specific extraction tasks
Build scalable data pipelines for batch and real-time processing
Implement quality control mechanisms for data extraction
Optimize performance and accuracy of AI components
Application Requirements
Please provide:
Current resume/CV highlighting relevant experience
Code samples or GitHub profile demonstrating:
Document processing implementations
Data extraction pipelines
Relevant ML/NLP projects
Brief description of your approach to:
Handling varied document formats
Ensuring extraction accuracy
Scaling document processing systems
This role offers the opportunity to work on challenging document AI problems with real-world financial applications. We're looking for developers who enjoy solving complex extraction and analysis problems at scale.