PRINCIPAL ENGINEER MACHINE LEARNING
Wipro
- Location
- Bengaluru, IND-29, IND, 560035<br/>
- Work model
- On-Site
- Level
- Principal
- H-1B history
- 906 approvals (FY2023)
- Posted
- 29d ago
Skills
About this role
Job Description
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Job Title
PRINCIPAL ENGINEER MACHINE LEARNING
City
Bengaluru
State/Province
Karnataka
Posting Start Date
7/10/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description
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Job Responsibilities
Help develop an analytics platform that integrates insights from diverse data sources. Build, deploy, and test machine learning and classification models Train and retrain systems when necessary Design experiments, train and track performance of machine learning and AI models that meet specific business requirements ML and data labelling: Identify ways to gather and build training data with automated data labelling techniques and the creation of highly accurate training datasets. Automatic extraction of causal knowledge from diverse information sources such as databases, news, social media, videos and images etc. Develop customized machine learning solutions including data querying and knowledge extraction. Develop and implement approaches for extracting patterns and correlations from both internal and external data sources using time series machine learning models. Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical