An excellent opportunity for Data Scientist/AI Engineer to be part of Cognizants Intelligent Process Automation practice. It combines advisory services with deep vendor partnerships and integrated solutions to create and execute strategic roadmaps.
Key Responsibilities:
* Imagine new applications of generative AI to address business needs.
* Integrate Generative AI into existing applications and workflows.
* Collaborate with ML scientists and engineers to research, design, and develop cutting-edge generative AI algorithms to address real-world challenges.
* Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership.
* Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions, and guide customers on adoption patterns and paths for generative AI.
* Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on various platforms.
* Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
* Provide customer and market feedback to Product and Engineering teams to help define product direction.
Key Skills and Experience:
* Proficient in Statistics, Machine learning, and deep learning concepts.
* Skilled in Python frameworks such as scikit-learn, scipy, numpy, etc., and DL libraries such as TensorFlow, Keras.
* Experience in GenAI projects such as text summarization and chatbot creation using LLM models (GPT-4, Med-Palm, LLAMA, etc.).
* Skilled in fine-tuning open-source LLM models such as LLAMA2 and Google Gemma model using LORA, Quantization, and QLORA techniques.
* Experience with RAG-based architecture using Langchain framework and using Cohere model to fine-tune and re-rank the responses of GenAI-based chatbots.
* Image classification using AI convolutional neural network models such as VGG 16, ResNet, AlexNet, Darknet architectures in the computer vision domain.
* Object detection using various frameworks such as YOLO, TFOD, Detectron.
* Knowledge of image classification, object detection, tracking, and segmentation.
* Familiarity with Neural Networks, BERT, Transformers, RAG, Langchain, Prompt Engineering, Azure AI Search, Vector DB, Conversational AI, and LLMs used: Azure Open AI (GPT-4 Turbo), LLAMA2, Google Gemma, Cohere model, Azure Open AI Embedding Model.
The Cognizant community:
We are a high-caliber team who appreciate and support one another. Our people uphold an energetic, collaborative, and inclusive workplace where everyone can thrive.
* Cognizant is a global community with more than 300,000 associates around the world.
* We dont just dream of a better way - we make it happen.
* We take care of our people, clients, company, communities, and climate by doing whats right.
* We foster an innovative environment where you can build the career path thats right for you.
About us:
Cognizant is one of the worlds leading professional services companies, transforming clients business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes Worlds Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Our commitment to diversity and inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity, and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted, and welcome. 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 protected characteristic as outlined by federal, state, or local laws.
Disclaimer:
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.
J-18808-Ljbffr