Junior Python Developer Job in Ezio Solutions Private Limited

Roles and Responsibilities As a Python Developer, responsibilities include writing and testing code, debugging programs and integrating applications with third-party web services and automation. Ultimately, I ll build highly responsive web applications that align with our business needs. I will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI softwares predictive capabilities. Write effective, scalable code & test and debug programs Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Improve functionality of existing systems Coordinate with internal teams to understand user requirements and provide technical solutions Design and implement of low-latency, high-availability, and Performant applications Integration of user-facing elements developed by front-end developers with server side logic Implementation of security and data protection Integration of data storage solutions Performance tuning, improvement, balancing, usability, automation Work collaboratively with design team to understand end user requirements to provide technical solutions and for the implementation of new software features Implementation of automation using selenium Data collections of various sites, storing the data s into database. Using NoSQL database and respective python libraries, to collect data. Research and develop statistical learning models for data analysis Collaborate with product management and engineering departments to understand company needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Designing machine learning systems to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Performing statistical analysis