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

Skills

Machine Learning, Python, Generative AI, AWS, Agentic AI, Pandas, Scikit-Learn, LLM, Predictive Modeling, RAG, Time Series Forecasting