Cognizant Technology Solutions India Ltd, Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world’s leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work.
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Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world’s leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work.
With over 100 development and delivery centers worldwide and approximately 244,300 employees as of June 30, 2016, Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
The world is changing faster than ever; creating new opportunities for those who stand ready to seize them. Because now more than ever, the Future belong to those who challenge the present.
Cognizant Walk-In Interview 29th Nov 2025(In Person)
Cognizant Walk-in Interview Chennai
Role : Gen AI Engineer
Experience : 4 to 13 Years
Relevant Experience : 2+ Years
Location : Pan India
Notice Period : Immediate to 90 days
Mode of Interview – In-Person (29th November 2025) at Chennai
Job Description :
1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
Improve Model accuracy to deliver greater business impact
Estimate business impact due to deployment of model
2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development Python / R / SQL / Cloud data pipelines
4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5. Experience in using Deep learning models with text, speech, image and video data
Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
Knowledge of State of the art Deep learning algorithms
6. Optimize and tune Deep Learnings model for best possible accuracy
7. Use visualization tools/modules to be able to explore and analyze
outcomes & for Model validation eg: using Power BI / Tableau
8. Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment
9. Integrating AI&ML models with other applications using REST APIs and other connector technologies
10. Constantly upskill and update with the latest techniques and best practices.
Write white papers and create demonstrable assets to summarize the AIML work and its impact.
Technology/Subject Matter Expertise
Sufficient expertise in machine learning, mathematical and statistical sciences
Use of versioning & Collaborative tools like Git / Github
Good understanding of landscape of AI solutions cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
Develop prototype level ideas into a solution that can scale to industrial grade strength
Ability to quantify & estimate the impact of ML models
Curiosity to think in fresh and unique ways with the intent of breaking new ground.
Must have the ability to share, explain and sell their thoughts, processes, ideas and opinions, even outside their own span of control
Ability to think ahead, and anticipate the needs for solving the problem will be important
Ability to communicate key messages effectively, and articulate strong opinions in large forums
Desirable Experience :
Keen contributor to open source communities, and communities like Kaggle
Ability to process Huge amount of Data using Pyspark/Hadoop
Development & Application of Reinforcement Learning
Knowledge of Optimization/Genetic Algorithms
Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
Optimize and tune deep learning model for best possible accuracy
Understanding of stream data processing, RPA, edge computing, AR/VR etc
Appreciation of digital ethics, data privacy will be important
Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus