PGP Glass Pvt Ltd
http://www.pgpfirst.comAbout
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Jobs at PGP Glass Pvt Ltd
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Key Responsibilities:-
• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution
• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
• Design, develop and maintain the framework for the analytical pipeline
• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation
• Provide input and help implement framework and tools to improve data quality
• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group
• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Key Roles/Responsibilities: –
• Develop an understanding of business obstacles, create
• solutions based on advanced analytics and draw implications for
• model development
• Combine, explore and draw insights from data. Often large and
• complex data assets from different parts of the business.
• Design and build explorative, predictive- or prescriptive
• models, utilizing optimization, simulation and machine learning
• techniques
• Prototype and pilot new solutions and be a part of the aim
• of ‘productifying’ those valuable solutions that can have impact at a
• global scale
• Guides and coaches other chapter colleagues to help solve
• data/technical problems at an operational level, and in
• methodologies to help improve development processes
• Identifies and interprets trends and patterns in complex data sets to
• enable the business to take data-driven decisions
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