Senior Python Developer – AI/ML Document Automation

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Job Summary:

Senior Python Developer

Roles and Responsibilities:

• Design and develop modular Python applications for document parsing and intelligent automation.
• Build and optimize ML/NLP pipelines for tasks like Named Entity Recognition (NER), classification, and layout-aware data extraction.
• Integrate rule-based and AI-driven techniques (e.g., regex, spaCy, PyMuPDF, Tesseract) to handle diverse document formats.
• Develop and deploy models via REST APIs using FastAPI or Flask, and containerize with Docker.
• Collaborate with cross-functional teams to define automation goals and data strategies.
• Conduct code reviews, mentor junior developers, and uphold best coding practices.
• Monitor model performance and implement feedback mechanisms for continuous improvement.
• Maintain thorough documentation of workflows, metrics, and architectural decisions.

Mandatory Skills:

• Expert in Python (OOP, asynchronous programming, modular design).
• Strong foundation in machine learning algorithms and natural language processing techniques.
• Hands-on experience with Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers.
• Proficient in developing REST APIs using FastAPI or Flask.
• Experience in PDF/text extraction using PyMuPDF, Tesseract, or similar tools.
• Skilled in regex-based extraction and rule-based NER.
• Familiar with Git, Docker, and any major cloud platform (AWS, GCP, or Azure).
• Exposure to MLOps tools such as MLflow, Airflow, or LangChain.