AI/ML Engineer - LLM/Predictive Modeling

Primary Responsibilities :

• Implement and fine-tune the AI chatbot (likely LLM-based)

• Context engineering

• 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

Essential Skills :

• Deep knowledge of working principles behind agents and experience in building Agents and/or Skills

• LLM integration and advanced prompt engineering

• Time-series forecasting or predictive modeling for automotive/fleet scenarios

• Python ML stack (scikit-learn, pandas, potentially PyTorch/TensorFlow)

• Understanding of RAG (Retrieval-Augmented Generation) patterns if contextual knowledge is needed

• Experience with model evaluation and A/B testing