7 hours ago
Hyderābād, IndiaMid Level / Senior
Responsibilities
- Build GenAI applications in Python for summarization, chatbots, and intelligent automation.
- Develop, fine-tune, train, evaluate, and deploy LLMs and traditional machine learning models for classification, prediction, and decision support.
- Design solutions using embeddings, vector search, and retrieval augmented generation (RAG).
- Deploy models using AWS SageMaker, Lambda, and Bedrock, as well as Azure Machine Learning, Azure OpenAI, Azure Functions, and Cognitive Services.
- Integrate AI systems with APIs, enterprise data platforms, business workflows, automation pipelines, and orchestration tools.
- Collaborate across teams to embed AI and machine learning into business workflows.
Requirements
- 4–10 years of experience.
- Strong Python development skills.
- Experience with GenAI frameworks and platforms including LangChain, Hugging Face, and OpenAI.
- Solid grounding in machine learning algorithms, model training, training pipelines, and evaluation techniques.
- Familiarity with prompt engineering, tokenization, and model optimization.
- Hands-on experience with AWS and Azure cloud tools for model lifecycle management, scalable deployment, and serverless execution.
- Ability to connect models to APIs, data sources, enterprise platforms, automation tools, and orchestration platforms.
Categories
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.