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

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📌 AI/ML Engineer (Chennai)
🏢 Bahwan Cybertek
📍 Chennai