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Title:  Data Scientist

Requisition ID:  40374
City:  Jersey City
Country/Region:  US
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 Title: Data Scientist

Location: Primary - Addison, TX / Secondary - Chandler, AZ, Charlotte, NC or Kennesaw, GA (3 Days onsite in a Week)

Mode of employment: Full-Time

Salary: $130K (Including QPLC)

 

Required Skills & Experience

Team is looking for a Data Scientist who can be responsible for designing, building and maintaining document capture applications.
The ideal candidate will have a solid background in software engineering with experience in building Machine Learning (ML) , Natural Language Processing (NLP) Models and good familiarity with Gen AI Models.

Key Aspects
Working experience with deploying model(s) into production.
Have contributed significantly or have been a major part of a team which deployed an ML, NLP, GenAI model from start to finish into production. 
Be able to clearly describe the problem, the customer/user, requirements, data used, model dev, key model related considerations for putting it into production (real life use).
More ML/NLP practitioner experience than academic or RD knowledge.

Required
7+ years as Data Scientist or related roles
Deep understanding and some exposure to new Gen AI Open-source Models
At least 5 years programming experience in software development and Agile process
At least 5 years Python (or equivalent) programming experience to work with ML/NLP models.
Experience in setting up supervised unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization
Experience in ML/NLP development pipelines of large data sets, both structured unstructured
At least 2 years’ experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing
Knowledge and hands-on experience working with OCR products
Have experience in working in a team lead role (even for a small team).
Be able to take an ML assignment and be able to run with it as a team lead.
Experience in support tech manager in model development activities.

Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law.

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Any complaints or concerns regarding unethical/unfair hiring practices should be directed to our Ombuds Group at ombuds.person@wipro.com.

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 inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.


Nearest Major Market: New York City
Nearest Secondary Market: Newark

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