AI/ML Engineer

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.