High-Performance Software Developer
il y a 3 semaines
Datasite is a global organization that delivers data rooms and SaaS technology used in M&A and other high-value transactions. We have a dynamic and collaborative environment where you can bring your unique ideas and experiences to contribute to our success.
Key Responsibilities:- Collaboration with ML Engineers: Work closely with machine learning engineers to understand the requirements for recommendation algorithms and integrate them into the REST API infrastructure.
- API Development: Build and maintain RESTful APIs using frameworks like Flask/uWSGI to expose recommendation functionality to the frontend.
- Retrievers Implementation: Develop retrievers leveraging ElasticSearch and Pinecone (vector database) for query preparation, managing filters, sorting, pagination, and implementing feedback loops to optimize recommendation accuracy and relevance.
- Data Management: Communicate with databases like MongoDB to fetch and save lists, user preferences, and other relevant data necessary for generating recommendations.
- Performance Optimization: Optimize API performance for scalability and responsiveness by implementing caching strategies with Redis, query optimization, and parallel processing techniques.
- Testing and Quality Assurance: Write unit tests, integration tests, and end-to-end tests to ensure the reliability and correctness of the API functionalities.
- Documentation and Communication: Document API endpoints, parameters, and usage guidelines for developers (front-end) and clients (using API) and communicate effectively with stakeholders.
We are committed to maintaining a diverse workforce to serve our customers around the world. Datasite is an equal opportunity employer and furthers the principles of EEO through Affirmative Action.
Requirements:- Bachelor's degree in Computer Science or Engineering
- Strong proficiency in Python programming language (4+ years)
- Experience developing and maintaining RESTful APIs using frameworks like Flask
- Familiarity with machine learning concepts and algorithms
- Experience with data stores such as Elasticsearch, Pinecone, and MongoDB
- Solid understanding of software engineering best practices, including unit testing and code review
- Excellent communication and collaboration skills
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