Hiring for GenAI
Cognizant
Please Find The GenAI JD
- 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 models with AWS services like SageMaker, Lambda, Bedrock and data platforms like Snowflake.
- Integrate AI systems with APIs, enterprise data platforms and business workflows.
- A. LLMs and hyperparameters (Azure / AWS / GCP / Open Source)
- B. Embedding models and vector database knowledge
- C. Prompting Techniques (Zero shot, few shot, chain of thought)
- D. Frameworks: Langchain, Pydantic
- E. RAG, Problem solving skills on where to apply RAG / Other Gen AI techniques.
- B. Frameworks like Pandas, Fast API, Numpy
- 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.
5-10 Years total Years of Exp , with Min 3+ in GenAi.
Location:
PAN INDIA
Notice Period
Immediate- 60 days