Principal Software Engineer
Company Name:-
IBM
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Introduction
Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today – planes and trains take off on time, bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do.
Whether you are working on projects internally or for a client, software development is critical to the success of IBM and our clients worldwide.
At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.
Your Role and Responsibilities
As a Data Science Engineer you will be responsible for building and optimizing our data models to detect security vulnerabilities that can operate on large amount of data in an efficient manner as well as making this capability available as a service.
You will also work with our software developers on integrating this capability with infrastructure automation software towards offering it as an end to end applications protection and recovery service .
You must be self- directed and comfortable dealing with complexity.
The right candidate will be excited by the prospect of optimizing or even re- designing our anomaly detection and correlation models.
The solutions developed by you would be highly scalable and will be deployed on platforms like Kubernetes, VMware and public clouds.
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Required Technical and Professional Expertise
Degree in Statistics, Mathematics, Computer Science or another quantitative field with 6+ years of experience in manipulating data sets and building statistical models
Experience in using statistical computer languages (R, Python, SQL, etc.
) to manipulate data and draw insights from large data sets
Experience in creating and using advanced machine learning algorithms and statistics such as regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
Experience creating and using advanced machine learning algorithms and statistics:
regression, simulation, scenario analysis, modelling, clustering, decision trees, etc.
Strong knowledge of Java or
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