Responsibilities
Writing effective, scalable code from scratch,.
Integrating applications with third-party web services/APIs,.
Developing back-end components to improve responsiveness and overall performance,.
Integrating user-facing elements into applications/server-side logic,.
Testing and debugging applications to ensure low-latency and high-availability,.
Improve functionality of existing systems,.
Accommodating various data storage solutions,.
Implement security and data protection solutions,.
Assess and prioritize feature requests,.
Additional Responsibilities:
Familiarity with AI/ML using Python, Data Scientist,.
Familiarity with front-end technologies (like JavaScript and HTML5),.
Application services auto-discovery using Python scripting,.
Experience of Python application deployment in Linux/Unix environment,.
Technical and Professional Requirements:
Primary skills:Artificial Intelligence->Python ML,Python,.
Coding experience in Python 3.6/3.8 or higher versions and experience with RESTful services,.
Expertise in at least one popular Python framework (like Django or Flask),.
Knowledge of JSON structure, creating RESTful APIs,.
Experience of working with RESTful APIs of AWS/Azure/GCP, SDKs provided by the cloud service providers,.
Proven experience of at least 3 or more Python application deployment (including at least one deployment in AWS/Azure),.
Good understanding of NoSQL databases like MongoDB,.
Good problem-solving skills,.
Fair understanding of Github, Docker, containerized deployment,.
Excellent understanding of platform architecture of at least one hyper-scaler (AWS/Azure),.
Ability to create APIs for CI/CD pipeline consumption,.
Preferred Skills:
Technology->Consulting – Data Management->Data Management,Technology->Artificial Intelligence->Artificial Intelligence – ALL
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