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Facets Testing

00066734721


Job Summary

As a Product Consultant (T) you will leverage your expertise in Facets LLMs - Open Sources PyTorch TensorFlow and Python to drive innovation in claims and billing domains. With a hybrid work model and day shifts you will collaborate with cross-functional teams to enhance product offerings and deliver impactful solutions that align with company goals and societal benefits.


Responsibilities

  • Lead the development and implementation of advanced solutions using Facets ensuring seamless integration with existing systems.
  • Oversee the utilization of LLMs
  • Open Sources to enhance product capabilities and improve data processing efficiency.
  • Provide technical guidance in PyTorch and TensorFlow to optimize machine learning models for better performance.
  • Collaborate with stakeholders to identify opportunities for product enhancements in the claims and billing domains.
  • Analyze complex data sets using Python to derive actionable insights that support strategic decision-making.
  • Develop and maintain comprehensive documentation for all technical processes and product features.
  • Ensure compliance with industry standards and regulations in all product-related activities.
  • Drive continuous improvement initiatives to enhance product quality and customer satisfaction.
  • Work closely with cross-functional teams to align product strategies with business objectives.
  • Facilitate workshops and training sessions to empower team members with necessary technical skills.
  • Monitor product performance and implement corrective actions to address any issues promptly.
  • Engage with clients to gather feedback and incorporate it into product development cycles.
  • Support the hybrid work model by effectively managing remote and onsite collaboration.


Qualifications

  • Possess strong expertise in Facets demonstrating the ability to integrate and optimize system functionalities.
  • Have extensive experience with LLMs
  • Open Sources showcasing proficiency in leveraging open-source tools for product innovation.
  • Demonstrate advanced skills in PyTorch and TensorFlow capable of developing robust machine learning models.
  • Exhibit proficiency in Python with a proven track record of analyzing data and generating insights.
  • Hold domain knowledge in claims and billing understanding the intricacies and requirements of these areas.
  • Show adaptability to hybrid work environments maintaining productivity across remote and onsite settings.
  • Display excellent communication skills facilitating effective collaboration with diverse teams.
  • Hands on in Python programming ML/DL frameworks (TensorFlow PyTorch) generative AI (LLMs SLMs VLMs) agentic workflow frameworks (LangChain LangGraph) Good to have : Healthcare Testing Facets

About Cognizant: 
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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