Senior Python Developer
Overture Rede · Work from home
PayPay not listed
WhereWork from home
TypeContractSenior
Posted1 Nov7 days ago, via Himalayas
Kaam checked
No fee, deposit or pay-to-apply signs
Good spoken and written English expected
Day work
No vehicle or licence needed
Skills they list8 named
Python DeveloperPython EngineerBackend EngineerSenior Python EngineerSenior Python Software EngineerSenior Python Backend DeveloperSenior Backend Python DeveloperSenior Python Developer (South America)
About this job
This is a remote position.
We are seeking a highly skilled and experienced Senior Python Developer with expertise in Flask, Redis, and MongoDB.
The ideal candidate will have over 6 years of experience in software development and a strong background in machine learning (ML) search, vector databases, building Retrieval-Augmented Generation (RAG) models, and Large Language Model (LLM) based search.
Responsibilities
- Backend Development: Design, develop, and maintain robust and scalable backend systems using Python and Flask.
- Database Management: Implement and manage databases using MongoDB and Redis to ensure high performance and reliability.
- Machine Learning Integration: Develop and integrate ML search functionalities, including vector databases and RAG models.
- LLM-Based Search: Implement and optimize search functionalities using large language models.
- Code Review and Quality Assurance: Conduct code reviews, provide technical solutions, and ensure the quality and maintainability of the codebase. ● Collaboration: Work closely with cross-functional teams, including data scientists, front-end developers, and product managers, to deliver high-quality software solutions.
- Documentation: Create and maintain comprehensive documentation for all developed systems and processes.
Requirements
- Experience: Minimum of 6 years of professional experience in Python development.
- Frameworks: Proficiency in Flask for backend development.
- Databases: Strong experience with MongoDB and Redis.
- Machine Learning: Proven experience in ML search, vector databases, and building RAG models.
- LLM-Based Search: Experience with implementing search functionalities using large language models.
Originally posted on Himalayas
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