Were on the lookout for a versatile and skilled AI and Machine Learning Specialist to join our dynamic team. Our ideal candidate will bring expertise across various domains including Large Language Models (LLMs) RetrievalAugmented Generation (RAG) Conversational Chatbots Langchain RASA Chatbot Framework AWS SageMaker AWS Bedrock and general Machine Learning. As a key member of our team youll be tasked with the design implementation and optimization of advanced AI and machine learning models and systems.
Responsibilities:
- Participate in finetuning pretrained models and evaluating performance.
- Assist in designing and implementing NLP and machine learning models.
- Support the development and integration of RAG Chatbots and various business use cases.
- Help design and implement chatbot functionalities including conversation flows and dialogue management.
- Integrate external APIs and services into various applications.
- Assist in managing SageMaker environments and deploying foundation models using AWS Bedrock.
- Monitor and optimize model performance ensuring data security and compliance.
- Collaborate with senior team members data scientists UX designers and engineers on various projects.
Required Skills:
- Proficiency in Python and relevant libraries.
- Understanding of Large Language Models and their architecture.
- Knowledge of preparing datasets finetuning pretrained models and evaluating/improving LLM performance.
- Familiarity with Retrieval Augmented Generation (RAG) and improving retrieval algorithms for better document selection.
- Experience with chatbot frameworks (RASA Dialogflow) for building and training RASA models.
- Experience in Python framework(Flask/FastAPI)
- Familiarity with Langchain framework to integrate with various LLMs based on use cases.
- Proficiency in AWS Services (Sagemaker Bedrock).
- Experience with data cleaning/preparation training machine learning models evaluating model performance improving model results and deploying models.
Required Experience:
Manager