AI/ML Engineer

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

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

Work location : Remote