Python Developer

• Role & responsibilities

• We are currently hiring for a Back-End Developer to design, build and maintaina backend API that will that provides various functionality to end-users. The backend is built on Cockroach DB and Python Flask. The successful candidate will be responsible for designing and developing new API endpoints based on the input coming from different teams and projects. In addition, you will also work on integration, maintaining and training AI/ML modelsfocused on audio quality and telephony environment. 

• Technical Requirements:

• Strong command of Python (preferably 3.x) with experience in writing clean, modular, and maintainable code.  
• Familiarity with Python libraries commonly used in Flask projects (e.g., requests and other relevant to your stack). 
• Proficiency with SQL Alchemy  
• Experience designing and managing database schemas and relationships (e.g., one-to-many, many-to-many) and performing migrations using Alembic.
• Strong understanding of relational databases (e.g., MySQL) and ability to write efficient SQL queries.  
• Experience with Redis for caching, session management, or real-time data processing. 
• Experience with machine learning workflows, including model training, evaluation, and deployment. 
• Knowledge of database optimization, indexing, and transaction management.  
• Understanding Flask concepts like routing and request handling.  
• Solid grasp of HTTP protocols, RESTful API development, and web application architecture. 
• Experience with API testing tools (e.g., Postman, curl) and debugging. 
• Familiarity with version control using Git (GitHub).  
• Familiarity with deployment tools and platforms (e.g., Docker, AWS). 
• Knowledge of testing frameworks like pytestand unittestfor unit and integration testing.  

Experience required for this role:

• 5+ years of experience in backend development 
• 3+ years of experience with Python 
• Strong problem-solving skills and the ability to work collaboratively in a team environment 
• Hands-on machine learning experience, with a focus on NLP and deep learning. 
• Ability to work with AI/ML models and run them in a Docker environment. 
• Understandingaudio quality parameters and audio measurements techniques.
• Strong knowledge of databases, including performancetuning and optimization. 
• Proficient with version control systems, particularly Git (GitHub). 
• Solid understanding of docker 
• Experience working in Unix/Linux environments. 
• Excellent communication skills, both written and verbal in English