Mid Back-End Python Engineer ( Django REST Framework ) Công Ty TNHH Công Nghệ VIO

About the Role:

We are looking for a talented Mid-Level Back-End Developer with a strong emphasis on data science, AI, and machine learning (ML) programming to join our growing team. This role will focus on building and optimizing data-driven back-end solutions, including the development of algorithms, data models, and intelligent features that drive the core functionalities of our global mobile application. As a key contributor, you will work with our team of developers, data scientists, and front-end engineers to deliver a seamless, high-quality user experience powered by smart, data-centric technology.

Roles & Responsibilities:

• Take ownership of features and improvements, overseeing the entire development cycle from initial ideation to production deployment.
• Collaborate with the team to develop and maintain the Django REST Framework, serving as the backend for an innovative mobile app.
• Work in an Agile environment, following SCRUM methodologies.
• Collaborate with cross-functional teams, including designers, front-end developers, and product managers.

• Salary: Up for Negotiation
• Benefits are given based on Vietnam rules and regulations.
• Young, dynamic, teamwork working environment, regularly organizing events.
• We are looking for not only a person who is a super IT developer but also a good business mindset who will be a very successful business man in the not too long distance future that don't want to have only a fixed salary every month in your whole life.

Requirements:

• 3+ years of experience in back-end development with Python
• Strong experience with Python, Celery, Elasticsearch, and Django REST Framework.
• Experience with version control systems like GitHub and GitLab.
• Proficiency in Postgresql databases.
• Excellent problem-solving and debugging skills.
• Strong analytical, problem-solving, and communication skills, with an ability to work effectively in a team environment.

Preferred Qualifications:

• Hands-on experience with natural language processing (NLP) and deep learning techniques.
• Knowledge of data visualization tools and techniques for presenting data insights effectively.
• Familiarity with containerization (Docker, Kubernetes) for deploying AI/ML models in scalable environments.
• Experience with data handling and real-time analytics using Firebase or similar services.
• Proficiency in both spoken and written English.