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We are seeking a highly skilled Software Engineer to join our team at Datasite, specializing in developing and maintaining features for recommendation systems. As a key member of our engineering team, you will collaborate closely with both machine learning and frontend engineers to implement and optimize recommendation algorithms, exposing them through RESTful APIs.
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: Develop 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) 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, especially when dealing with compute-intensive requests.
- 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 and clients.
- 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 (mandatory), Pinecone, and MongoDB.
- Solid understanding of software engineering best practices, including unit testing and code review.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
At Datasite, we value diversity and inclusion in the workplace. We are an equal opportunity employer and welcome applications from qualified candidates from diverse backgrounds.
