Python Developer

Haven't heard of us before? No problem. First off, it's pronounced In-fur-d. We are the creators of a proprietary Intelligent Document Processing platform that automates data extraction from complex and messy unstructured documents. For over a decade, we've been building expertise in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Neural Networks, and much more. We have been building technology that is disrupting the data extraction space for 5+ years now. And now, we are on the lookout for a motivated Python Developer to join our Engineering team. In this role, you will help us build our product in an efficient and solid way.

Responsibilities

• Create Python scripts and services.
• Document inside code and designs.
• Ensure the deliverables are of the highest quality in terms of functional and technical aspects.
• Ensure the in-sprint defects are closed with the highest quality, and any production defects are being taken care of for a specific duration post-release.
• Work along with the PM, Architect, and the BA to manage the deliverables from technical and functional aspects.
• Work along with DevOps and other teams to fulfill roles and see the big picture.
• Carry out regular code reviews, enforce coding best practices, source control, and deliverables.
  

Requirements

• 3 -5 years of expertise in Python 3 software engineering skills.
• Experience building systems that interact with REST APIs or depend on web frameworks like Flask (preferred) or Django.
• Python Language Proficiency: Strong understanding of Python syntax and libraries like Pandas.
• Design, develop, test, and maintain high-quality software using the Python programming language.
• Experience with MongoDB.
• Strong object-oriented design and programming skills.
• Experience with SQL and NoSQL databases.
• Proficiency with Git.
  

Nice To Have

• Familiarity with Linux.
• Experience with microservices and architectural design.
• Experience with Python testing frameworks (unit test, pytest).
• Knowledge of using OpenAPI specifications for designing REST Endpoints.
• Experience working with message brokers (RabbitMQ, Redis).
• Experience in deploying machine learning models in production environments and making them accessible through APIs.
• Experience with DevOps processes, along with Kubernetes and the container ecosystem, is an advantage.
• Experience working with AWS services or other cloud services.
  

This job was posted by Jacqueline Lobo from Infrrd.