Experience : 4Yrs - 10 Yrs • Build GenAI applications using Python for tasks like summarization, chatbots and intelligent automation.
• Fine tune and deploy LLMs and traditional ML models for classification, prediction, and decisioning.
• Design solutions using embeddings, vector search, and retrieval augmented generation (RAG).
• Integrate models with AWS services like SageMaker, Lambda, Bedrock and data platforms like Snowflake.
• Collaborate across teams to embed AI/ML into business workflows and automation pipelines.
Preferred Skills
• Strong Python skills with experience in GenAI frameworks like LangChain, Hugging Face, OpenAI.
• Solid grounding in ML algorithms, model training and evaluation.
• Familiarity with prompt engineering, tokenization and model optimization.
• Hands-on with AWS tools for scalable deployment and serverless execution.
• Ability to connect models to APIs, data sources and orchestration tools. |
• Build GenAI applications using Python for tasks like chatbots, summarization and intelligent automation.
• Develop and fine tune LLMs and ML models for classification, prediction, and decision support.
• Design solutions using embeddings, vector search, and retrieval augmented generation (RAG).
• Deploy models using Azure Machine Learning and Azure OpenAI scale with Azure Functions and Cognitive Services.
• Integrate AI systems with APIs, enterprise data platforms and business workflows.
Preferred Skills
• Strong Python development with experience in GenAI frameworks like LangChain, Hugging Face, OpenAI.
• Solid foundation in ML algorithms, training pipelines and evaluation techniques.
• Familiarity with prompt engineering, tokenization and model optimization.
• Hands-on with Azure cloud tools for model lifecycle, deployment,and serverless execution.
• Ability to connect models to data sources, automation tools and orchestration platforms. |
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.
