
AI Machine Learning Engineer
2 days ago
As an experienced Backend Developer and Machine Learning expert, you will play a crucial role in designing and implementing scalable ML pipelines and backend services. This is a key position that requires collaboration with cross-functional teams to deliver high-quality solutions.
Key Responsibilities:- Develop and Maintain Scalable ML Pipelines and Backend Services: Utilize your experience in backend application development to create and maintain efficient machine learning pipelines.
- Build, Deploy, and Manage Applications: Leverage your expertise in Python and frameworks like Tornado and FastAPI to build, deploy, and manage applications.
- Work with RDBMS Models in Cloud Environments: Collaborate with cloud environments for data storage and retrieval using RDBMS models.
- Design and Implement RESTful APIs: Create robust RESTful APIs, including token-based authentication and compression techniques.
- Collaborate with Cross-Functional Teams: Work collaboratively in Agile environment to ensure successful project delivery.
- Troubleshoot Issues and Optimize Performance: Use version control tools like Git/Bitbucket to ensure robust performance optimization.
Required Skills:
- At least 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.
Benefits:
- Opportunity to work on cutting-edge projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
Others:
- Maintain up-to-date skills in the field of machine learning and backend development.
- Participate in code reviews and contribute to the development of best practices.
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