GANs, Natural Language Processing (NLP), NoSQL, SQL, Vector CANalyzer
GEN AI data scientist / Architect
Skill Requirements:
Prompt Engineering: Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations.
Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyper-parameters, ensuring task generalization, and exploring model interpretability for robust web app integration.
Response Quality: Collaborate with ML and Integration engineers to demonstrate LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app.
Responsibility:
Salary and Other Compensation:
The annual salary for this position is depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Disclaimer: The salary, other compensation, and benefits 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.
Cognizant is an American multinational information technology services and consulting company. It is headquartered in Teaneck, New Jersey, United States. Cognizant helps companies modernize technology, reimagine processes and transform experiences to stay ahead in a fast-changing world.