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.

QUALIFICATIONS

• Bachelor’s Degree
  Expected annual pay for this role ranges from $66,000 to $99,000. Based on the position, the role is also eligible for Wipro’s standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
  We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.
  “Wipro is committed to creating an accessible, supportive, and reasonable accommodations to all our applicates with disabilities throughout the recruitment and selection process. Should an applicant require accommodation or a special request due to a disability, Wipro encourages individuals to make their needs known in advance. Requests for accommodation will be considered on an individual basis and in accordance with the requirements of the applicable provincial laws. Wipro is dedicated to ensuring equal opportunities and a barrier-free recruitment process and employment for all qualified candidates”.

ROLE DESCRIPTION

The deliverable is to achieve high precision (> 99%) and high recall (>99%) rates through employing ML tuning and training techniques. This effort opens up our team’s AI/ML capabilities where this headcount helps drive best practices with deliverables, while the FTEs can plan and develop future AI/ML models or tooling on top of this model or adjacent to this model.
Role (Skillset):
Someone who’s knowledgeable in AI/ML, specifically in image classification space using convolutional neural networks. The person should have deep knowledge on how to debug, research, improve, implement CNN models and reach high metrics. The person should also have knowledge on leveraging other model knowledge to drive improvements peripheral to the model’s success. For example, an autoencoder model to denoise input, etc