Python developer

at CyborgIntell

Posted by Amit Kumar

3 - 5 yrs

₹12L - ₹18L / yr

Bengaluru (Bangalore)

Skills

Python

Django

Flask

Job brief
We are looking for a Senior Python Developer to join our engineering team and help us develop and maintain various software products. Your primary focus will be the development of all server-side logic, ensuring high performance and responsiveness to requests from the front-end.
Python Developer responsibilities include designing product, writing, and testing code, debugging programs, and integrating applications with web services.
Skills And Qualifications
• Expert in Python, with knowledge of multithreading and multitasking framework
• Expert in PySpark and Spark Framework
• Expert in Docker and Container Environment.
• Strong unit test and debugging skills
• Knowledge on MySql, Hive, Hadoop and NoSQL Databases
• Good Understanding of event-driven programming in Python
• Hands on experience on Kubernetes and container management using Kubernetes on Azure Cloud
• Hands on experience on Azure Cloud Load Balancer and VPC networking
• Good Understanding of Azure Cloud services
• Knowledge of user authentication and authorization between multiple systems, servers, and environments. eg. Single Sign On (SSO)
• Proficient understanding of code versioning tools as Git
• Understanding of accessibility and security compliance
• Implement security and data protection solutions
• Coordinate with internal teams to understand user requirements and provide technical solutions

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About CyborgIntell

Founded :

2018

Type :

Product

Size :

0-20

Stage :

Raised funding

About

CyborgIntell is a Enterprise AI Software company that specializes in automating the entire lifecycle of Data Science and Machine learning using AI. Our mission is to accelerate the data to decision cycles for businesses by solving the challenges of Talent, time, Complexity of Data Science, and Governance of machine learning models.

At CyborgIntell, we understand the most prevalent problem of operationalizing ML models into production in real-time. That's why we have developed ML DevOps, a revolutionary product that addresses this issue. With Dynamic AI, our self-learning system, we track and update models in real-time, ensuring that our clients always have the most up-to-date information at their fingertips.