Qa / Test Engineer Tamil Nadu (India)

We are looking for a highly skilled AI/ML Engineer with deep knowledge of working principles behind agents and experience in building Agents and/or Skills. The ideal candidate should have 3 to 8 years of experience. This position is based remotely. Roles and Responsibility Implement and fine-tune the AI chatbot, likely LLM-based. Design and build vehicle forecasting models and algorithms. Create effective prompt and orchestration strategies for AWS Bedrock tool/function calling (Agents, Action Groups, and model invocation). Optimize model performance, accuracy, and response quality. Handle context management and conversation flow. Develop and maintain time-series forecasting or predictive modeling for automotive/fleet scenarios using Python ML stack (scikit-learn, pandas, potentially PyTorch/TensorFlow). Job Requirements Deep knowledge of working principles behind agents and experience in building Agents and/or Skills. Experience with model evaluation and A/B testing. Understanding of RAG (Retrieval-Augmented Generation) patterns if contextual knowledge is needed. Proficiency in Python ML stack (scikit-learn, pandas, potentially PyTorch/TensorFlow). Ability to design and build vehicle forecasting models and algorithms. Robust understanding of context engineering and ability to handle context management and conversation flow. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. We are looking for a highly skilled AI/ML Engineer with deep knowledge of working principles behind agents and experience in building Agents and/or Skills. The ideal candidate should have 3 to 8 years of experience. This position is based remotely. Roles and Responsibility Implement and fine-tune the AI chatbot, likely LLM-based. Design and build vehicle forecasting models and algorithms. Create effective prompt and orchestration strategies for AWS Bedrock tool/function calling (Agents, Action Groups, and model invocation). Optimize model performance, accuracy, and response quality. Handle context management and conversation flow. Develop and maintain time-series forecasting or predictive modeling for automotive/fleet scenarios using Python ML stack (scikit-learn, pandas, potentially PyTorch/TensorFlow). Job Requirements Deep knowledge of working principles behind agents and experience in building Agents and/or Skills. Experience with model evaluation and A/B testing. Understanding of RAG (Retrieval-Augmented Generation) patterns if contextual knowledge is needed. Proficiency in Python ML stack (scikit-learn, pandas, potentially PyTorch/TensorFlow). Ability to design and build vehicle forecasting models and algorithms. Robust understanding of context engineering and ability to handle context management and conversation flow. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.