AI Python Engineer

About the Project

A company specializing in digital identity and document verification is launching a two-month Proof of Concept to test whether an in-house AI-powered OCR and document classification system can surpass existing third-party tools. The initiative focuses on building a functional prototype using Microsoft Azure’s AI stack and Python-based frameworks. The outcome will define the technical and business feasibility of evolving the prototype into a full-scale production solution.

Role Overview

We’re looking for an experienced AI/Python Developer to help design and implement the AI and data processing components of this PoC. Working closely with a Data Scientist and an MLOps Engineer, you’ll transform models into deployable applications and enable automated workflows for document recognition and structured data extraction within Azure.

Key Responsibilities

• Build and integrate AI components and data pipelines into a working prototype.
• Deploy trained ML models through Python APIs (FastAPI/Flask).
• Connect components with Azure services such as Functions, AI SDKs, and Storage/CosmosDB.
• Ensure accuracy and reliability of extracted and classified data (JSON output validation).
• Apply solid engineering practices: testing, modular code, Git versioning.

Required Skills and Experience

• Advanced proficiency in Python focused on AI and automation.
• Strong experience with FastAPI or Flask for backend service development.
• Proven ability to embed trained ML models into production-ready applications.
• Familiarity with Azure’s AI ecosystem, including SDKs, Functions, and cloud data storage.
• Hands-on experience with OCR tools (e.g., Tesseract, Azure Document Intelligence).
• Strong coding discipline and attention to maintainable, testable architecture.
• Confidence working with structured data formats and visual validation.

Engagement Details

• Duration: ~2 months (PoC stage)
• Format: Fully remote
• Commitment: Full-time during PoC execution
• Collaboration: Close cooperation with Data Scientist and MLOps Engineer