at Zensar
Full TimeGreat in conducting statistical tests and analysis
Conduct exploratory data analysis (EDA) to uncover trends and patterns in structured and unstructured datasets.
Use machine learning techniques to train and evaluate models
Work with data pipelines in AWS environments to preprocess and manage datasets for AI models.
Implementing RAG pipelines to enhance generative AI systems with real-time, context-aware data retrieval.
Support the fine-tuning of large language models (LLMs) like Anthropic Claude, OpenAI GPT, Llama models to meet specific business use cases.
Collaborate on building conversational AI systems that deliver dynamic and accurate responses.
Should have hands on experience in using frameworks like Langchain and Llama Index
Looking for 4+ years of experience
Hands on experience in AWS services like Sagemaker, Bedrock etc
Databricks is an added advantage
Great proficiency in Python
