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2 days ago
We're seeking a seasoned Machine Learning Software Engineer to drive our data-driven initiatives forward.
The ideal candidate will have a solid background in machine learning, software engineering, and DevOps principles.
Main Responsibilities:
- Pipeline Development: Design and implement scalable ML pipelines using Python and popular frameworks like Tornado and FastAPI.
- Application Deployment: Build, deploy, and manage applications on cloud environments.
- Data Storage and Retrieval: Work with RDBMS models for data storage and retrieval in cloud environments.
- API Design: Design and implement RESTful APIs with token-based authentication and compression.
- Cross-functional Collaboration: Collaborate with cross-functional teams in an Agile environment to deliver high-quality solutions.
- Troubleshooting and Optimization: Troubleshoot issues, optimize performance, and ensure robust version control using Git/Bitbucket.
Required Skills:
- 5+ years of backend application development experience with Python.
- Strong knowledge of RDBMS and cloud database models.
- Hands-on experience with Python Tornado and FastAPI frameworks.
- In-depth understanding of RESTful APIs, token authentication, and compression techniques.
- Experience with version control and issue tracking tools: Bitbucket, Git CLI, Jira.
- Excellent problem-solving skills and ability to work collaboratively in a team.
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